Closed certifiedwaif closed 9 years ago
argh!
From: Mark Greenaway [notifications@github.com] Sent: Wednesday, March 04, 2015 3:36 PM To: certifiedwaif/phd Subject: [phd] All of the algorithms run on R 3.1.0 on my Mac, but fail on R 3.1.2 on the Linux machines at Uni. (#8)
This is very odd.
Mac log:
R version 3.1.0 (2014-04-10) -- "Spring Dance" Copyright (C) 2014 The R Foundation for Statistical Computing Platform: x86_64-apple-darwin10.8.0 (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details.
Natural language support but running in an English locale
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Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R.
accuracy.R
source("zero_inflated_model.R") source("generate.R") source("mcmc.R") source("rwmh.R")
calculate_accuracies = function(mult, mcmc_samples, var_result, approximation, print_flag=FALSE, plot_flag=FALSE)
*
*
*
*
test_accuracy = function(mult, mcmc_samples, approximation, plot=FALSE)
Calculate accuracy ---- Approximate the L1 norm between the variational approximation and the MCMC approximation
calculate_univariate_accuracy <- function(result_mcmc, var_result)
test_accuracies = function()
*
*
*
*
test_accuracies_slope = function()
*
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*
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*
*
*
*
$var_result$mLambda (Intercept) x groups2 x:groups2 groups3 (Intercept) 0.007154014 -0.005154323 -0.007136626 0.005163922 -0.007144532 x -0.005154323 0.004295960 0.005143068 -0.004301498 0.005148240 groups2 -0.007136626 0.005143068 0.009425739 -0.005162749 0.007127168 x:groups2 0.005163922 -0.004301498 -0.005162749 0.007527698 -0.005157824 groups3 -0.007144532 0.005148240 0.007127168 -0.005157824 0.008289927 x:groups3 0.005162642 -0.004300897 -0.005151365 0.004306450 -0.004903491 groups4 -0.007149408 0.005151363 0.007132031 -0.005160954 0.007139932 x:groups4 0.005156909 -0.004297504 -0.005145647 0.004303047 -0.005150822 groups5 -0.007097451 0.005116721 0.007080207 -0.005126237 0.007088048 x:groups5 0.005150843 -0.004291441 -0.005139592 0.004296980 -0.005144762 x:groups3 groups4 x:groups4 groups5 x:groups5 (Intercept) 0.005162642 -0.007149408 0.005156909 -0.007097451 0.005150843 x -0.004300897 0.005151363 -0.004297504 0.005116721 -0.004291441 groups2 -0.005151365 0.007132031 -0.005145647 0.007080207 -0.005139592 x:groups2 0.004306450 -0.005160954 0.004303047 -0.005126237 0.004296980 groups3 -0.004903491 0.007139932 -0.005150822 0.007088048 -0.005144762 x:groups3 0.006438819 -0.005159675 0.004302446 -0.005124969 0.004296379 groups4 -0.005159675 0.007716174 -0.005056923 0.007092883 -0.005147884 x:groups4 0.004302446 -0.005056923 0.004915965 -0.005119285 0.004292986 groups5 -0.005124969 0.007092883 -0.005119285 0.016429939 -0.009887394 x:groups5 0.004296379 -0.005147884 0.004292986 -0.009887394 0.015130470
$var_result$a_rho [1] 84.00326
$var_result$b_rho [1] 17.99674
$var_result$a_sigma numeric(0)
$var_result$b_sigma numeric(0)
$var_result$vlower_bound [1] -4.106170e+17 -4.350599e+03 -4.344772e+03 -4.344774e+03
$vbeta_accuracy [1] 0.9070440 0.8987978
$vu_accuracy [1] 0.9472439 0.8896154 0.9140297 0.9021092 0.9046075 0.9117498 0.8924308 [8] 0.8997999
$rho_accuracy [1] 0.9036479
N 100 p 2 m 5 blocksize 2 spline_dim 0 calculate_lower_bound: T1 -4290.5 T2 -49.87337 T3 -47.95629 a_sigma b_sigma calculate_lower_bound: T1 -4248.556 T2 -48.19411 T3 -47.92917 Iteration 2 : lower bound -4344.679 difference 43.65032 parameters vmu 2.09413 2.302459 0.9748742 -2.291327 1.699557 -2.752339 2.394875 -2.569562 -0.3210693 -1.869889 diag(mLambda) 0.008482581 0.004920235 0.01120775 0.00882215 0.009749764 0.007525693 0.009149858 0.005617782 0.02105552 0.02150821 a_rho 84.00327 b_rho 17.99673 a_sigma b_sigma calculate_lower_bound: T1 -4248.571 T2 -48.15914 T3 -47.92901 Iteration 3 : lower bound -4344.66 difference 0.01938413 parameters vmu 2.093147 2.302883 0.9762678 -2.291192 1.700575 -2.752579 2.395646 -2.570119 -0.315083 -1.866814 diag(mLambda) 0.008453674 0.004908523 0.01116801 0.008813112 0.009715358 0.007520294 0.009118412 0.005608128 0.02092709 0.0214335 a_rho 84.0033 b_rho 17.9967 a_sigma b_sigma calculate_lower_bound: T1 -4248.572 T2 -48.15807 T3 -47.92899 Iteration 4 : lower bound -4344.659 difference 0.000556743 parameters vmu 2.093039 2.302952 0.976395 -2.291246 1.700687 -2.752644 2.395749 -2.570193 -0.3148 -1.866767 diag(mLambda) 0.008453144 0.00490834 0.01116712 0.008812989 0.009714664 0.007520192 0.009117801 0.005607992 0.020923 0.02143089 a_rho 84.0033 b_rho 17.9967 a_sigma b_sigma calculate_lower_bound: T1 -4248.572 T2 -48.15803 T3 -47.92899 Iteration 5 : lower bound -4344.659 difference 2.094874e-05 parameters vmu 2.093033 2.302956 0.9764014 -2.291249 1.700693 -2.752648 2.395754 -2.570197 -0.314788 -1.866766 diag(mLambda) 0.008453146 0.004908342 0.01116711 0.008812984 0.009714661 0.007520192 0.0091178 0.005607994 0.0209229 0.02143087 a_rho 84.0033 b_rho 17.9967 a_sigma b_sigma calculate_lower_bound: T1 -4248.572 T2 -48.15803 T3 -47.92899 Iteration 6 : lower bound -4344.659 difference 1.130324e-06 parameters vmu 2.093033 2.302956 0.9764019 -2.291249 1.700694 -2.752648 2.395755 -2.570197 -0.3147871 -1.866766 diag(mLambda) 0.008453147 0.004908342 0.01116711 0.008812985 0.009714661 0.007520193 0.009117801 0.005607995 0.02092289 0.02143084 a_rho 84.0033 b_rho 17.9967 a_sigma b_sigma calculate_lower_bound: T1 -4248.572 T2 -48.15803 T3 -47.92899 Iteration 7 : lower bound -4344.659 difference -8.684765e-08 parameters vmu 2.093033 2.302956 0.9764019 -2.291249 1.700694 -2.752648 2.395754 -2.570197 -0.3147871 -1.866766 diag(mLambda) 0.008453147 0.004908343 0.01116711 0.008812991 0.009714661 0.007520196 0.0091178 0.005607996 0.02092289 0.02143084 a_rho 84.0033 b_rho 17.9967 a_sigma b_sigma [1] 100 8 NULL Time difference of 1.995439 secs $var_result $var_result$vmu [1] 2.0930326 2.3029559 0.9764019 -2.2912491 1.7006935 -2.7526478 [7] 2.3957545 -2.5701973 -0.3147871 -1.8667661
$var_result$mLambda [,1] [,2] [,3] [,4] [,5] [1,] 0.008453147 -0.006044301 -0.008430261 0.006054040 -0.008441129 [2,] -0.006044301 0.004908343 0.006029263 -0.004913887 0.006036490 [3,] -0.008430261 0.006029263 0.011167114 -0.006484650 0.008418278 [4,] 0.006054040 -0.004913887 -0.006484650 0.008812991 -0.006046214 [5,] -0.008441129 0.006036490 0.008418278 -0.006046214 0.009714661 [6,] 0.006055018 -0.004914797 -0.006039948 0.004920357 -0.005868733 [7,] -0.008446603 0.006040060 0.008423736 -0.006049790 0.008434595 [8,] 0.006048103 -0.004910680 -0.006033053 0.004916230 -0.006040286 [9,] -0.008360108 0.005982407 0.008337485 -0.005992026 0.008348228 [10,] 0.006054226 -0.004911368 -0.006039150 0.004916932 -0.006046394 [,6] [,7] [,8] [,9] [,10] [1,] 0.006055018 -0.008446603 0.006048103 -0.008360108 0.006054226 [2,] -0.004914797 0.006040060 -0.004910680 0.005982407 -0.004911368 [3,] -0.006039948 0.008423736 -0.006033053 0.008337485 -0.006039150 [4,] 0.004920357 -0.006049790 0.004916230 -0.005992026 0.004916932 [5,] -0.005868733 0.008434595 -0.006040286 0.008348228 -0.006046394 [6,] 0.007520196 -0.006050767 0.004917140 -0.005992995 0.004917842 [7,] -0.006050767 0.009117800 -0.005890535 0.008353639 -0.006049972 [8,] 0.004917140 -0.005890535 0.005607996 -0.005986162 0.004913711 [9,] -0.005992995 0.008353639 -0.005986162 0.020922893 -0.011423462 [10,] 0.004917842 -0.006049972 0.004913711 -0.011423462 0.021430839
$var_result$a_rho [1] 84.0033
$var_result$b_rho [1] 17.9967
$var_result$a_sigma numeric(0)
$var_result$b_sigma numeric(0)
$var_result$vlower_bound [1] -4388.329 -4344.679 -4344.660 -4344.659 -4344.659 -4344.659 -4344.659
$vbeta_accuracy [1] 0.9218658 0.9196421
$vu_accuracy [1] 0.9555139 0.9244812 0.9300057 0.9253950 0.9257944 0.9294784 0.9325449 [8] 0.9585504
$rho_accuracy [1] 0.9036515
N 100 p 2 m 5 blocksize 2 spline_dim 0 calculate_lower_bound: T1 -4.10617e+17 T2 -105.5615 T3 -38.79287 a_sigma b_sigma calculate_lower_bound: T1 -4254.581 T2 -48.17991 T3 -47.93239 Iteration 2 : lower bound -4350.693 difference 4.10617e+17 parameters vmu 1.967162 2.38913 1.101495 -2.380752 1.826973 -2.839919 2.439368 -2.693567 -0.2090716 -1.967071 diag(mLambda) 0.009626389 0.005505333 0.0123472 0.009262223 0.01084605 0.008085332 0.01031284 0.006211642 0.02329809 0.02103267 a_rho 84.00284 b_rho 17.99716 a_sigma b_sigma calculate_lower_bound: T1 -4248.666 T2 -48.1396 T3 -47.92847 Iteration 3 : lower bound -4344.734 difference 5.959453 parameters vmu 2.089955 2.305214 0.9802474 -2.2943 1.70389 -2.755052 2.398955 -2.572443 -0.3080842 -1.8672 diag(mLambda) 0.009357424 0.005479383 0.01210666 0.009380454 0.01067038 0.007993289 0.009852098 0.006041833 0.02253293 0.0211349 a_rho 84.00337 b_rho 17.99663 a_sigma b_sigma calculate_lower_bound: T1 -4248.657 T2 -48.15205 T3 -47.92845 Iteration 4 : lower bound -4344.738 difference -0.004210441 parameters vmu 2.089665 2.305241 0.9794486 -2.294553 1.704081 -2.754486 2.399184 -2.57229 -0.3092569 -1.868841 diag(mLambda) 0.009506722 0.005478045 0.01233618 0.009400417 0.01077984 0.008051188 0.009967946 0.006027864 0.02250331 0.02121321 a_rho 84.00337 b_rho 17.99663 a_sigma b_sigma [1] 100 8 NULL Time difference of 2.084503 secs $var_result $var_result$vmu [1] 2.0896655 2.3052413 0.9794486 -2.2945533 1.7040812 -2.7544864 [7] 2.3991839 -2.5722897 -0.3092569 -1.8688408
$var_result$mLambda (Intercept) x groups2 x:groups2 groups3 (Intercept) 0.009506722 -0.006810024 -0.009693908 0.007077483 -0.009543433 x -0.006810024 0.005478045 0.006940870 -0.005700327 0.006831581 groups2 -0.009693908 0.006940870 0.012336184 -0.007224387 0.009722892 x:groups2 0.007077483 -0.005700327 -0.007224387 0.009400417 -0.007097980 groups3 -0.009543433 0.006831581 0.009722892 -0.007097980 0.010779844 x:groups3 0.006991532 -0.005632224 -0.007123440 0.005849564 -0.006738496 groups4 -0.009445196 0.006760559 0.009622777 -0.007024161 0.009474876 x:groups4 0.006747138 -0.005439216 -0.006875162 0.005649940 -0.006767274 groups5 -0.010435842 0.007494819 0.010619410 -0.007773163 0.010468587 x:groups5 0.008099759 -0.006516700 -0.008236823 0.006750237 -0.008124073 x:groups3 groups4 x:groups4 groups5 x:groups5 (Intercept) 0.006991532 -0.009445196 0.006747138 -0.010435842 0.008099759 x -0.005632224 0.006760559 -0.005439216 0.007494819 -0.006516700 groups2 -0.007123440 0.009622777 -0.006875162 0.010619410 -0.008236823 x:groups2 0.005849564 -0.007024161 0.005649940 -0.007773163 0.006750237 groups3 -0.006738496 0.009474876 -0.006767274 0.010468587 -0.008124073 x:groups3 0.008051188 -0.006940005 0.005583984 -0.007687403 0.006681336 groups4 -0.006940005 0.009967946 -0.006592944 0.010364304 -0.008048975 x:groups4 0.005583984 -0.006592944 0.006027864 -0.007419028 0.006467086 groups5 -0.007687403 0.010364304 -0.007419028 0.022503309 -0.015027962 x:groups5 0.006681336 -0.008048975 0.006467086 -0.015027962 0.021213209
$var_result$a_rho [1] 84.00337
$var_result$b_rho [1] 17.99663
$var_result$a_sigma numeric(0)
$var_result$b_sigma numeric(0)
$var_result$vlower_bound [1] -4.106170e+17 -4.350693e+03 -4.344734e+03 -4.344738e+03
$vbeta_accuracy [1] 0.9223178 0.9321255
$vu_accuracy [1] 0.9530949 0.9346686 0.9326032 0.9323161 0.9308158 0.9364944 0.9189237 [8] 0.9602546
$rho_accuracy [1] 0.9036579
[1] "gva2new" N 100 p 2 m 5 blocksize 2 spline_dim 0 calculate_lower_bound: T1 -4292.737 T2 -49.86207 T3 -47.95629 a_sigma b_sigma calculate_lower_bound: T1 -4250.696 T2 -48.16968 T3 -47.9283 Iteration 2 : lower bound -4346.794 difference 43.76168 parameters vmu 2.097054 2.300623 0.9717529 -2.289799 1.696478 -2.750359 2.391713 -2.567674 -0.3238487 -1.869233 diag(mLambda) 0.0002772039 0.0002585945 0.002714801 0.003825567 0.001274922 0.002529919 0.0006452087 0.0006648273 0.01206992 0.01604501 a_rho 84.00339 b_rho 17.99661 a_sigma b_sigma calculate_lower_bound: T1 -4250.713 T2 -48.13132 T3 -47.92848 Iteration 3 : lower bound -4346.773 difference 0.02088818 parameters vmu 2.097566 2.299943 0.9716072 -2.288637 1.695939 -2.749491 2.390994 -2.567088 -0.3199915 -1.86376 diag(mLambda) 0.0002773868 0.0002585225 0.002711821 0.003823748 0.001274627 0.002565101 0.0006452489 0.0006651087 0.01199677 0.01599983 a_rho 84.00337 b_rho 17.99663 a_sigma b_sigma calculate_lower_bound: T1 -4250.709 T2 -48.13713 T3 -47.92777 Iteration 4 : lower bound -4346.774 difference -0.001010009 parameters vmu 2.094479 2.302267 0.9748108 -2.291137 1.6991 -2.751906 2.394069 -2.569463 -0.3155559 -1.868097 diag(mLambda) 0.0002774194 0.0002585368 0.00271153 0.003823654 0.001274604 0.002568743 0.0006452575 0.0006651432 0.01199424 0.01599953 a_rho 84.00347 b_rho 17.99653 a_sigma b_sigma [1] 100 8 NULL Time difference of 2.075891 secs $var_result $var_result$vmu [1] 2.0944786 2.3022674 0.9748108 -2.2911367 1.6990997 -2.7519064 [7] 2.3940692 -2.5694626 -0.3155559 -1.8680974
$var_result$mLambda 1 2 1 2 3 1 2.774194e-04 1.865033e-06 -2.463851e-05 -5.330677e-06 -1.859036e-05 2 1.865033e-06 2.585368e-04 -3.162288e-06 -2.158638e-05 -7.083789e-07 1 -2.463851e-05 -3.162288e-06 2.711530e-03 7.232348e-07 1.657832e-06 2 -5.330677e-06 -2.158638e-05 7.232348e-07 3.823654e-03 4.058501e-07 3 -1.859036e-05 -7.083789e-07 1.657832e-06 4.058501e-07 1.274604e-03 4 -2.425131e-06 -1.951697e-05 4.414230e-07 1.672172e-06 2.065185e-07 5 -1.106122e-05 7.271966e-06 8.972287e-07 -3.998449e-07 7.246534e-07 6 7.312536e-06 -3.111613e-08 -6.485195e-07 -1.338202e-07 -4.898446e-07 7 -4.127052e-05 9.158416e-07 3.651536e-06 6.935497e-07 2.762916e-06 8 -2.072022e-05 -4.610888e-05 2.373080e-06 4.230161e-06 1.492236e-06 4 5 6 7 8 1 -2.425131e-06 -1.106122e-05 7.312536e-06 -4.127052e-05 -2.072022e-05 2 -1.951697e-05 7.271966e-06 -3.111613e-08 9.158416e-07 -4.610888e-05 1 4.414230e-07 8.972287e-07 -6.485195e-07 3.651536e-06 2.373080e-06 2 1.672172e-06 -3.998449e-07 -1.338202e-07 6.935497e-07 4.230161e-06 3 2.065185e-07 7.246534e-07 -4.898446e-07 2.762916e-06 1.492236e-06 4 2.568743e-03 -4.574443e-07 -5.786903e-08 2.707655e-07 3.648649e-06 5 -4.574443e-07 6.452575e-04 2.125136e-05 1.679440e-06 -4.801365e-07 6 -5.786903e-08 2.125136e-05 6.651432e-04 -1.088226e-06 -5.318928e-07 7 2.707655e-07 1.679440e-06 -1.088226e-06 1.199424e-02 -4.195596e-03 8 3.648649e-06 -4.801365e-07 -5.318928e-07 -4.195596e-03 1.599953e-02
$var_result$a_rho [1] 84.00347
$var_result$b_rho [1] 17.99653
$var_result$a_sigma numeric(0)
$var_result$b_sigma numeric(0)
$var_result$vlower_bound [1] -4390.555 -4346.794 -4346.773 -4346.774
$vbeta_accuracy [1] 0.3031139 0.3435177
$vu_accuracy [1] 0.6712743 0.7325994 0.5152712 0.6898212 0.4117733 0.4804914 0.8437027 [8] 0.9131477
$rho_accuracy [1] 0.9036661
N 100 p 2 m 5 blocksize 2 spline_dim 0 calculate_lower_bound: T1 -4290.483 T2 -49.87728 T3 -47.95629 a_sigma b_sigma calculate_lower_bound: T1 -4248.556 T2 -48.19414 T3 -47.92916 Iteration 2 : lower bound -4344.679 difference 43.63771 parameters vmu 2.094092 2.30249 0.9749076 -2.291343 1.699598 -2.752365 2.394914 -2.569594 -0.3210242 -1.869919 diag(mLambda) 0.008481814 0.004919978 0.01120775 0.008823185 0.009748932 0.007530014 0.009149182 0.005618411 0.02106534 0.02151484 a_rho 84.00328 b_rho 17.99672 a_sigma b_sigma calculate_lower_bound: T1 -4248.571 T2 -48.15913 T3 -47.92901 Iteration 3 : lower bound -4344.66 difference 0.01938018 parameters vmu 2.093146 2.302883 0.9762684 -2.291192 1.700575 -2.752579 2.395646 -2.570119 -0.3150817 -1.866813 diag(mLambda) 0.008453264 0.004908316 0.01116759 0.008812906 0.009714952 0.007520098 0.009118001 0.005607927 0.02092649 0.02143308 a_rho 84.0033 b_rho 17.9967 a_sigma b_sigma calculate_lower_bound: T1 -4248.572 T2 -48.15807 T3 -47.92899 Iteration 4 : lower bound -4344.659 difference 0.00055306 parameters vmu 2.093039 2.302952 0.9763949 -2.291246 1.700687 -2.752644 2.395749 -2.570193 -0.3148001 -1.866767 diag(mLambda) 0.008453131 0.004908331 0.01116711 0.008812973 0.009714652 0.007520181 0.009117788 0.005607983 0.02092299 0.02143091 a_rho 84.0033 b_rho 17.9967 a_sigma b_sigma calculate_lower_bound: T1 -4248.572 T2 -48.15803 T3 -47.92899 Iteration 5 : lower bound -4344.659 difference 2.0825e-05 parameters vmu 2.093033 2.302956 0.9764015 -2.291249 1.700693 -2.752648 2.395754 -2.570197 -0.3147877 -1.866766 diag(mLambda) 0.008453145 0.004908341 0.01116711 0.008812985 0.00971466 0.007520193 0.009117799 0.005607994 0.02092289 0.02143084 a_rho 84.0033 b_rho 17.9967 a_sigma b_sigma calculate_lower_bound: T1 -4248.572 T2 -48.15803 T3 -47.92899 Iteration 6 : lower bound -4344.659 difference 8.548432e-07 parameters vmu 2.093033 2.302956 0.9764019 -2.291249 1.700694 -2.752648 2.395754 -2.570197 -0.3147871 -1.866766 diag(mLambda) 0.008453146 0.004908342 0.01116711 0.008812986 0.009714661 0.007520194 0.0091178 0.005607995 0.02092289 0.02143084 a_rho 84.0033 b_rho 17.9967 a_sigma b_sigma calculate_lower_bound: T1 -4248.572 T2 -48.15803 T3 -47.92899 Iteration 7 : lower bound -4344.659 difference 3.64098e-08 parameters vmu 2.093033 2.302956 0.9764019 -2.291249 1.700694 -2.752648 2.395755 -2.570197 -0.3147871 -1.866766 diag(mLambda) 0.008453146 0.004908342 0.01116711 0.008812986 0.009714661 0.007520194 0.0091178 0.005607995 0.02092289 0.02143084 a_rho 84.0033 b_rho 17.9967 a_sigma b_sigma calculate_lower_bound: T1 -4248.572 T2 -48.15803 T3 -47.92899 Iteration 8 : lower bound -4344.659 difference 1.578883e-09 parameters vmu 2.093033 2.302956 0.9764019 -2.291249 1.700694 -2.752648 2.395755 -2.570197 -0.3147871 -1.866766 diag(mLambda) 0.008453146 0.004908342 0.01116711 0.008812986 0.009714661 0.007520194 0.0091178 0.005607995 0.02092289 0.02143084 a_rho 84.0033 b_rho 17.9967 a_sigma b_sigma calculate_lower_bound: T1 -4248.572 T2 -48.15803 T3 -47.92899 Iteration 9 : lower bound -4344.659 difference 6.548362e-11 parameters vmu 2.093033 2.302956 0.9764019 -2.291249 1.700694 -2.752648 2.395755 -2.570197 -0.3147871 -1.866766 diag(mLambda) 0.008453146 0.004908342 0.01116711 0.008812986 0.009714661 0.007520194 0.0091178 0.005607995 0.02092289 0.02143084 a_rho 84.0033 b_rho 17.9967 a_sigma b_sigma calculate_lower_bound: T1 -4248.572 T2 -48.15803 T3 -47.92899 Iteration 10 : lower bound -4344.659 difference 2.728484e-12 parameters vmu 2.093033 2.302956 0.9764019 -2.291249 1.700694 -2.752648 2.395755 -2.570197 -0.3147871 -1.866766 diag(mLambda) 0.008453146 0.004908342 0.01116711 0.008812986 0.009714661 0.007520194 0.0091178 0.005607995 0.02092289 0.02143084 a_rho 84.0033 b_rho 17.9967 a_sigma b_sigma calculate_lower_bound: T1 -4248.572 T2 -48.15803 T3 -47.92899 Iteration 11 : lower bound -4344.659 difference 1.818989e-12 parameters vmu 2.093033 2.302956 0.9764019 -2.291249 1.700694 -2.752648 2.395755 -2.570197 -0.3147871 -1.866766 diag(mLambda) 0.008453146 0.004908342 0.01116711 0.008812986 0.009714661 0.007520194 0.0091178 0.005607995 0.02092289 0.02143084 a_rho 84.0033 b_rho 17.9967 a_sigma b_sigma calculate_lower_bound: T1 -4248.572 T2 -48.15803 T3 -47.92899 Iteration 12 : lower bound -4344.659 difference 0 parameters vmu 2.093033 2.302956 0.9764019 -2.291249 1.700694 -2.752648 2.395755 -2.570197 -0.3147871 -1.866766 diag(mLambda) 0.008453146 0.004908342 0.01116711 0.008812986 0.009714661 0.007520194 0.0091178 0.005607995 0.02092289 0.02143084 a_rho 84.0033 b_rho 17.9967 a_sigma b_sigma [1] 100 8 NULL Time difference of 1.688941 secs $var_result $var_result$vmu [,1] [1,] 2.0930326 [2,] 2.3029559 [3,] 0.9764019 [4,] -2.2912491 [5,] 1.7006935 [6,] -2.7526478 [7,] 2.3957545 [8,] -2.5701973 [9,] -0.3147871 [10,] -1.8667662
$var_result$mLambda [,1] [,2] [,3] [,4] [,5] [1,] 0.008453146 -0.006044300 -0.008430260 0.006054035 -0.008441129 [2,] -0.006044300 0.004908342 0.006029262 -0.004913884 0.006036490 [3,] -0.008430260 0.006029262 0.011167113 -0.006484645 0.008418277 [4,] 0.006054035 -0.004913884 -0.006484645 0.008812986 -0.006046209 [5,] -0.008441129 0.006036490 0.008418277 -0.006046209 0.009714661 [6,] 0.006055016 -0.004914795 -0.006039945 0.004920353 -0.005868731 [7,] -0.008446602 0.006040059 0.008423735 -0.006049785 0.008434595 [8,] 0.006048102 -0.004910678 -0.006033051 0.004916226 -0.006040285 [9,] -0.008360106 0.005982404 0.008337483 -0.005992021 0.008348227 [10,] 0.006054223 -0.004911365 -0.006039149 0.004916929 -0.006046393 [,6] [,7] [,8] [,9] [,10] [1,] 0.006055016 -0.008446602 0.006048102 -0.008360106 0.006054223 [2,] -0.004914795 0.006040059 -0.004910678 0.005982404 -0.004911365 [3,] -0.006039945 0.008423735 -0.006033051 0.008337483 -0.006039149 [4,] 0.004920353 -0.006049785 0.004916226 -0.005992021 0.004916929 [5,] -0.005868731 0.008434595 -0.006040285 0.008348227 -0.006046393 [6,] 0.007520194 -0.006050765 0.004917138 -0.005992992 0.004917840 [7,] -0.006050765 0.009117800 -0.005890534 0.008353638 -0.006049971 [8,] 0.004917138 -0.005890534 0.005607995 -0.005986160 0.004913709 [9,] -0.005992992 0.008353638 -0.005986160 0.020922889 -0.011423464 [10,] 0.004917840 -0.006049971 0.004913709 -0.011423464 0.021430839
$var_result$a_rho [1] 84.0033
$var_result$b_rho [1] 17.9967
$var_result$a_sigma numeric(0)
$var_result$b_sigma numeric(0)
$var_result$vlower_bound [1] -4388.317 -4344.679 -4344.660 -4344.659 -4344.659 -4344.659 -4344.659 [8] -4344.659 -4344.659 -4344.659 -4344.659 -4344.659
$vbeta_accuracy [1] 0.9218658 0.9196421
$vu_accuracy [1] 0.9555139 0.9244811 0.9300057 0.9253950 0.9257944 0.9294784 0.9325448 [8] 0.9585505
$rho_accuracy [1] 0.9036515
Linux log:
R version 3.1.2 (2014-10-31) -- "Pumpkin Helmet" Copyright (C) 2014 The R Foundation for Statistical Computing Platform: x86_64-pc-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R.
accuracy.R
source("zero_inflated_model.R") source("generate.R") source("mcmc.R") source("rwmh.R")
calculate_accuracy = function(mcmc_samples, dist_fn, param1, param2)
accuracy_plot = function(mcmc_samples, dist_fn, param1, param2)
calculate_accuracies = function(mult, mcmc_samples, var_result, approximation, print_flag=FALSE, plot_flag=FALSE)
*
*
*
*
*
test_accuracy = function(mult, mcmc_samples, approximation, plot=FALSE)
Calculate accuracy ---- Approximate the L1 norm between the variational approximation and the MCMC approximation
calculate_univariate_accuracy <- function(result_mcmc, var_result)
test_accuracies = function()
*
*
*
*
test_accuracies_slope = function()
*
*
*
*
*
*
*
*
*
$var_result$mLambda (Intercept) x groups2 x:groups2 groups3 (Intercept) 0.007154014 -0.005154323 -0.007136626 0.005163922 -0.007144532 x -0.005154323 0.004295960 0.005143068 -0.004301498 0.005148240 groups2 -0.007136626 0.005143068 0.009425739 -0.005162749 0.007127168 x:groups2 0.005163922 -0.004301498 -0.005162749 0.007527698 -0.005157824 groups3 -0.007144532 0.005148240 0.007127168 -0.005157824 0.008289927 x:groups3 0.005162642 -0.004300897 -0.005151365 0.004306450 -0.004903491 groups4 -0.007149408 0.005151363 0.007132031 -0.005160954 0.007139932 x:groups4 0.005156909 -0.004297504 -0.005145647 0.004303047 -0.005150822 groups5 -0.007097451 0.005116721 0.007080207 -0.005126237 0.007088048 x:groups5 0.005150843 -0.004291441 -0.005139592 0.004296980 -0.005144762 x:groups3 groups4 x:groups4 groups5 x:groups5 (Intercept) 0.005162642 -0.007149408 0.005156909 -0.007097451 0.005150843 x -0.004300897 0.005151363 -0.004297504 0.005116721 -0.004291441 groups2 -0.005151365 0.007132031 -0.005145647 0.007080207 -0.005139592 x:groups2 0.004306450 -0.005160954 0.004303047 -0.005126237 0.004296980 groups3 -0.004903491 0.007139932 -0.005150822 0.007088048 -0.005144762 x:groups3 0.006438819 -0.005159675 0.004302446 -0.005124969 0.004296379 groups4 -0.005159675 0.007716174 -0.005056923 0.007092883 -0.005147884 x:groups4 0.004302446 -0.005056923 0.004915965 -0.005119285 0.004292986 groups5 -0.005124969 0.007092883 -0.005119285 0.016429939 -0.009887394 x:groups5 0.004296379 -0.005147884 0.004292986 -0.009887394 0.015130470
$var_result$a_rho [1] 84.00326
$var_result$b_rho [1] 17.99674
$var_result$a_sigma numeric(0)
$var_result$b_sigma numeric(0)
$var_result$vlower_bound [1] -4.106170e+17 -4.350599e+03 -4.344772e+03 -4.344774e+03
$vbeta_accuracy [1] 0.9035163 0.9057978
$vu_accuracy [1] 0.9168333 0.9106049 0.9179837 0.9240022 0.9067588 0.9171403 0.9006352 [8] 0.8843505
$rho_accuracy [1] 0.9294158
N 100 p 2 m 5 blocksize 2 spline_dim 0 calculate_lower_bound: T1 -4290.507 T2 -49.87344 T3 -47.95629 a_sigma b_sigma calculate_lower_bound: T1 -4248.556 T2 -48.19419 T3 -47.92916 Iteration 2 : lower bound -4344.679 difference 43.6573 parameters vmu 2.09409 2.302492 0.974904 -2.291347 1.699599 -2.752365 2.394914 -2.569596 -0.3210042 -1.869959 diag(mLambda) 0.008481679 0.004919913 0.0112074 0.008822642 0.009748994 0.007528633 0.009148985 0.005618053 0.0210578 0.02150873 a_rho 84.00328 b_rho 17.99672 a_sigma b_sigma calculate_lower_bound: T1 -4248.571 T2 -48.15913 T3 -47.92901 Iteration 3 : lower bound -4344.66 difference 0.01940456 parameters vmu 2.093146 2.302883 0.9762685 -2.291192 1.700576 -2.752579 2.395646 -2.570119 -0.3150815 -1.866813 diag(mLambda) 0.008453228 0.004908299 0.01116755 0.008812885 0.009714915 0.00752008 0.009117964 0.005607909 0.02092631 0.02143282 a_rho 84.0033 b_rho 17.9967 a_sigma b_sigma calculate_lower_bound: T1 -4248.572 T2 -48.15807 T3 -47.92899 Iteration 4 : lower bound -4344.659 difference 0.0005529186 parameters vmu 2.093039 2.302952 0.976395 -2.291246 1.700687 -2.752644 2.395749 -2.570193 -0.3148003 -1.866767 diag(mLambda) 0.008453131 0.00490833 0.01116711 0.008812966 0.009714652 0.007520178 0.009117788 0.005607981 0.02092304 0.02143098 a_rho 84.0033 b_rho 17.9967 a_sigma b_sigma calculate_lower_bound: T1 -4248.572 T2 -48.15803 T3 -47.92899 Iteration 5 : lower bound -4344.659 difference 2.113186e-05 parameters vmu 2.093033 2.302956 0.9764016 -2.291249 1.700693 -2.752648 2.395754 -2.570197 -0.3147875 -1.866766 diag(mLambda) 0.008453145 0.004908341 0.01116711 0.008812988 0.009714659 0.007520194 0.009117799 0.005607995 0.02092289 0.02143083 a_rho 84.0033 b_rho 17.9967 a_sigma b_sigma calculate_lower_bound: T1 -4248.572 T2 -48.15803 T3 -47.92899 Iteration 6 : lower bound -4344.659 difference 5.468974e-07 parameters vmu 2.093032 2.302956 0.9764023 -2.291249 1.700694 -2.752648 2.395755 -2.570198 -0.3147866 -1.866767 diag(mLambda) 0.008453146 0.004908345 0.01116712 0.008812998 0.009714662 0.007520199 0.009117801 0.005607998 0.02092289 0.02143081 a_rho 84.0033 b_rho 17.9967 a_sigma b_sigma calculate_lower_bound: T1 -4248.572 T2 -48.15803 T3 -47.92899 Iteration 7 : lower bound -4344.659 difference 3.403011e-07 parameters vmu 2.093033 2.302956 0.9764017 -2.291249 1.700693 -2.752648 2.395754 -2.570197 -0.3147873 -1.866766 diag(mLambda) 0.008453147 0.004908342 0.01116711 0.008812986 0.009714661 0.007520193 0.009117799 0.005607994 0.02092288 0.02143082 a_rho 84.0033 b_rho 17.9967 a_sigma b_sigma calculate_lower_bound: T1 -4248.572 T2 -48.15803 T3 -47.92899 Iteration 8 : lower bound -4344.659 difference -1.964881e-07 parameters vmu 2.093032 2.302956 0.9764023 -2.291249 1.700694 -2.752648 2.395755 -2.570198 -0.3147865 -1.866767 diag(mLambda) 0.008453147 0.004908342 0.01116711 0.00881299 0.00971466 0.007520198 0.009117801 0.005607997 0.02092289 0.02143083 a_rho 84.0033 b_rho 17.9967 a_sigma b_sigma [1] 100 8 NULL Time difference of 3.73424 secs $var_result $var_result$vmu [1] 2.0930321 2.3029562 0.9764023 -2.2912495 1.7006940 -2.7526481 [7] 2.3957550 -2.5701976 -0.3147865 -1.8667666
$var_result$mLambda [,1] [,2] [,3] [,4] [,5] [1,] 0.008453147 -0.006044300 -0.008430261 0.006054039 -0.008441128 [2,] -0.006044300 0.004908342 0.006029261 -0.004913886 0.006036489 [3,] -0.008430261 0.006029261 0.011167115 -0.006484648 0.008418278 [4,] 0.006054039 -0.004913886 -0.006484648 0.008812990 -0.006046212 [5,] -0.008441128 0.006036489 0.008418278 -0.006046212 0.009714660 [6,] 0.006055017 -0.004914797 -0.006039947 0.004920356 -0.005868732 [7,] -0.008446602 0.006040059 0.008423736 -0.006049789 0.008434593 [8,] 0.006048102 -0.004910679 -0.006033052 0.004916228 -0.006040285 [9,] -0.008360108 0.005982405 0.008337484 -0.005992025 0.008348227 [10,] 0.006054225 -0.004911368 -0.006039150 0.004916931 -0.006046394 [,6] [,7] [,8] [,9] [,10] [1,] 0.006055017 -0.008446602 0.006048102 -0.008360108 0.006054225 [2,] -0.004914797 0.006040059 -0.004910679 0.005982405 -0.004911368 [3,] -0.006039947 0.008423736 -0.006033052 0.008337484 -0.006039150 [4,] 0.004920356 -0.006049789 0.004916228 -0.005992025 0.004916931 [5,] -0.005868732 0.008434593 -0.006040285 0.008348227 -0.006046394 [6,] 0.007520198 -0.006050766 0.004917140 -0.005992994 0.004917842 [7,] -0.006050766 0.009117801 -0.005890535 0.008353638 -0.006049972 [8,] 0.004917140 -0.005890535 0.005607997 -0.005986161 0.004913711 [9,] -0.005992994 0.008353638 -0.005986161 0.020922894 -0.011423447 [10,] 0.004917842 -0.006049972 0.004913711 -0.011423447 0.021430829
$var_result$a_rho [1] 84.0033
$var_result$b_rho [1] 17.9967
$var_result$a_sigma numeric(0)
$var_result$b_sigma numeric(0)
$var_result$vlower_bound [1] -4388.336 -4344.679 -4344.660 -4344.659 -4344.659 -4344.659 -4344.659 [8] -4344.659
$vbeta_accuracy [1] 0.9308112 0.9251300
$vu_accuracy [1] 0.9332386 0.9255522 0.9373222 0.9434991 0.9286187 0.9388787 0.9601703 [8] 0.9324045
$rho_accuracy [1] 0.9294196
N 100 p 2 m 5 blocksize 2 spline_dim 0 Error in optim(par = vmu, fn = f.GVA_new, gr = vg.GVA_new, method = method, : non-finite value supplied by optim Calls: test_accuracies_slope ... zero_infl_var -> zero_infl_var.multivariate -> fit.GVA_new -> optim Execution halted
Reply to this email directly or view it on GitHubhttps://github.com/certifiedwaif/phd/issues/8.
Indeed.
Hey, I bet this isn't really helping ...
Browse[2]> mR[1:2, 1:2]
(Intercept) x
(Intercept) 1056490771 0
x 1685014370 5848370
Browse[2]> log(mR[1:2, 1:2])
(Intercept) x
(Intercept) 20.77822 -Inf
x 21.24504 15.58167
So my guess would be it's the inverse Cholesky parameterisation combined with the fact that we're only taking logs and exponentials of the diagonal of mLambda. If we initialised differently or took logs of the entire lower triangular matrix, we could probably side-step this.
But yes, it really unsettles me when the same code with the same random number seed behaves differently on different computers. R and all the other tools that we're using are supposed to be portable, and minor revisions shouldn't break things.
Think I've caught it. We were initialising the parameters for the GVA2 fit using the Laplacian approximation first, and that was causing the crash. So I'm initialising the model fit parameters normally now.
https://github.com/certifiedwaif/phd/commit/656c83537449492ae9338229e639ab9abef160f0
Resolved by frequent R version upgrades.
This is very odd.
Mac log:
R version 3.1.0 (2014-04-10) -- "Spring Dance" Copyright (C) 2014 The R Foundation for Statistical Computing Platform: x86_64-apple-darwin10.8.0 (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details.
Natural language support but running in an English locale
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$var_result$mLambda (Intercept) x groups2 x:groups2 groups3 (Intercept) 0.007154014 -0.005154323 -0.007136626 0.005163922 -0.007144532 x -0.005154323 0.004295960 0.005143068 -0.004301498 0.005148240 groups2 -0.007136626 0.005143068 0.009425739 -0.005162749 0.007127168 x:groups2 0.005163922 -0.004301498 -0.005162749 0.007527698 -0.005157824 groups3 -0.007144532 0.005148240 0.007127168 -0.005157824 0.008289927 x:groups3 0.005162642 -0.004300897 -0.005151365 0.004306450 -0.004903491 groups4 -0.007149408 0.005151363 0.007132031 -0.005160954 0.007139932 x:groups4 0.005156909 -0.004297504 -0.005145647 0.004303047 -0.005150822 groups5 -0.007097451 0.005116721 0.007080207 -0.005126237 0.007088048 x:groups5 0.005150843 -0.004291441 -0.005139592 0.004296980 -0.005144762 x:groups3 groups4 x:groups4 groups5 x:groups5 (Intercept) 0.005162642 -0.007149408 0.005156909 -0.007097451 0.005150843 x -0.004300897 0.005151363 -0.004297504 0.005116721 -0.004291441 groups2 -0.005151365 0.007132031 -0.005145647 0.007080207 -0.005139592 x:groups2 0.004306450 -0.005160954 0.004303047 -0.005126237 0.004296980 groups3 -0.004903491 0.007139932 -0.005150822 0.007088048 -0.005144762 x:groups3 0.006438819 -0.005159675 0.004302446 -0.005124969 0.004296379 groups4 -0.005159675 0.007716174 -0.005056923 0.007092883 -0.005147884 x:groups4 0.004302446 -0.005056923 0.004915965 -0.005119285 0.004292986 groups5 -0.005124969 0.007092883 -0.005119285 0.016429939 -0.009887394 x:groups5 0.004296379 -0.005147884 0.004292986 -0.009887394 0.015130470
$var_result$a_rho [1] 84.00326
$var_result$b_rho [1] 17.99674
$var_result$a_sigma numeric(0)
$var_result$b_sigma numeric(0)
$var_result$vlower_bound [1] -4.106170e+17 -4.350599e+03 -4.344772e+03 -4.344774e+03
$vbeta_accuracy [1] 0.9070440 0.8987978
$vu_accuracy [1] 0.9472439 0.8896154 0.9140297 0.9021092 0.9046075 0.9117498 0.8924308 [8] 0.8997999
$rho_accuracy [1] 0.9036479
N 100 p 2 m 5 blocksize 2 spline_dim 0 calculate_lower_bound: T1 -4290.5 T2 -49.87337 T3 -47.95629 a_sigma b_sigma calculate_lower_bound: T1 -4248.556 T2 -48.19411 T3 -47.92917 Iteration 2 : lower bound -4344.679 difference 43.65032 parameters vmu 2.09413 2.302459 0.9748742 -2.291327 1.699557 -2.752339 2.394875 -2.569562 -0.3210693 -1.869889 diag(mLambda) 0.008482581 0.004920235 0.01120775 0.00882215 0.009749764 0.007525693 0.009149858 0.005617782 0.02105552 0.02150821 a_rho 84.00327 b_rho 17.99673 a_sigma b_sigma calculate_lower_bound: T1 -4248.571 T2 -48.15914 T3 -47.92901 Iteration 3 : lower bound -4344.66 difference 0.01938413 parameters vmu 2.093147 2.302883 0.9762678 -2.291192 1.700575 -2.752579 2.395646 -2.570119 -0.315083 -1.866814 diag(mLambda) 0.008453674 0.004908523 0.01116801 0.008813112 0.009715358 0.007520294 0.009118412 0.005608128 0.02092709 0.0214335 a_rho 84.0033 b_rho 17.9967 a_sigma b_sigma calculate_lower_bound: T1 -4248.572 T2 -48.15807 T3 -47.92899 Iteration 4 : lower bound -4344.659 difference 0.000556743 parameters vmu 2.093039 2.302952 0.976395 -2.291246 1.700687 -2.752644 2.395749 -2.570193 -0.3148 -1.866767 diag(mLambda) 0.008453144 0.00490834 0.01116712 0.008812989 0.009714664 0.007520192 0.009117801 0.005607992 0.020923 0.02143089 a_rho 84.0033 b_rho 17.9967 a_sigma b_sigma calculate_lower_bound: T1 -4248.572 T2 -48.15803 T3 -47.92899 Iteration 5 : lower bound -4344.659 difference 2.094874e-05 parameters vmu 2.093033 2.302956 0.9764014 -2.291249 1.700693 -2.752648 2.395754 -2.570197 -0.314788 -1.866766 diag(mLambda) 0.008453146 0.004908342 0.01116711 0.008812984 0.009714661 0.007520192 0.0091178 0.005607994 0.0209229 0.02143087 a_rho 84.0033 b_rho 17.9967 a_sigma b_sigma calculate_lower_bound: T1 -4248.572 T2 -48.15803 T3 -47.92899 Iteration 6 : lower bound -4344.659 difference 1.130324e-06 parameters vmu 2.093033 2.302956 0.9764019 -2.291249 1.700694 -2.752648 2.395755 -2.570197 -0.3147871 -1.866766 diag(mLambda) 0.008453147 0.004908342 0.01116711 0.008812985 0.009714661 0.007520193 0.009117801 0.005607995 0.02092289 0.02143084 a_rho 84.0033 b_rho 17.9967 a_sigma b_sigma calculate_lower_bound: T1 -4248.572 T2 -48.15803 T3 -47.92899 Iteration 7 : lower bound -4344.659 difference -8.684765e-08 parameters vmu 2.093033 2.302956 0.9764019 -2.291249 1.700694 -2.752648 2.395754 -2.570197 -0.3147871 -1.866766 diag(mLambda) 0.008453147 0.004908343 0.01116711 0.008812991 0.009714661 0.007520196 0.0091178 0.005607996 0.02092289 0.02143084 a_rho 84.0033 b_rho 17.9967 a_sigma b_sigma [1] 100 8 NULL Time difference of 1.995439 secs $var_result $var_result$vmu [1] 2.0930326 2.3029559 0.9764019 -2.2912491 1.7006935 -2.7526478 [7] 2.3957545 -2.5701973 -0.3147871 -1.8667661
$var_result$mLambda [,1] [,2] [,3] [,4] [,5] [1,] 0.008453147 -0.006044301 -0.008430261 0.006054040 -0.008441129 [2,] -0.006044301 0.004908343 0.006029263 -0.004913887 0.006036490 [3,] -0.008430261 0.006029263 0.011167114 -0.006484650 0.008418278 [4,] 0.006054040 -0.004913887 -0.006484650 0.008812991 -0.006046214 [5,] -0.008441129 0.006036490 0.008418278 -0.006046214 0.009714661 [6,] 0.006055018 -0.004914797 -0.006039948 0.004920357 -0.005868733 [7,] -0.008446603 0.006040060 0.008423736 -0.006049790 0.008434595 [8,] 0.006048103 -0.004910680 -0.006033053 0.004916230 -0.006040286 [9,] -0.008360108 0.005982407 0.008337485 -0.005992026 0.008348228 [10,] 0.006054226 -0.004911368 -0.006039150 0.004916932 -0.006046394 [,6] [,7] [,8] [,9] [,10] [1,] 0.006055018 -0.008446603 0.006048103 -0.008360108 0.006054226 [2,] -0.004914797 0.006040060 -0.004910680 0.005982407 -0.004911368 [3,] -0.006039948 0.008423736 -0.006033053 0.008337485 -0.006039150 [4,] 0.004920357 -0.006049790 0.004916230 -0.005992026 0.004916932 [5,] -0.005868733 0.008434595 -0.006040286 0.008348228 -0.006046394 [6,] 0.007520196 -0.006050767 0.004917140 -0.005992995 0.004917842 [7,] -0.006050767 0.009117800 -0.005890535 0.008353639 -0.006049972 [8,] 0.004917140 -0.005890535 0.005607996 -0.005986162 0.004913711 [9,] -0.005992995 0.008353639 -0.005986162 0.020922893 -0.011423462 [10,] 0.004917842 -0.006049972 0.004913711 -0.011423462 0.021430839
$var_result$a_rho [1] 84.0033
$var_result$b_rho [1] 17.9967
$var_result$a_sigma numeric(0)
$var_result$b_sigma numeric(0)
$var_result$vlower_bound [1] -4388.329 -4344.679 -4344.660 -4344.659 -4344.659 -4344.659 -4344.659
$vbeta_accuracy [1] 0.9218658 0.9196421
$vu_accuracy [1] 0.9555139 0.9244812 0.9300057 0.9253950 0.9257944 0.9294784 0.9325449 [8] 0.9585504
$rho_accuracy [1] 0.9036515
N 100 p 2 m 5 blocksize 2 spline_dim 0 calculate_lower_bound: T1 -4.10617e+17 T2 -105.5615 T3 -38.79287 a_sigma b_sigma calculate_lower_bound: T1 -4254.581 T2 -48.17991 T3 -47.93239 Iteration 2 : lower bound -4350.693 difference 4.10617e+17 parameters vmu 1.967162 2.38913 1.101495 -2.380752 1.826973 -2.839919 2.439368 -2.693567 -0.2090716 -1.967071 diag(mLambda) 0.009626389 0.005505333 0.0123472 0.009262223 0.01084605 0.008085332 0.01031284 0.006211642 0.02329809 0.02103267 a_rho 84.00284 b_rho 17.99716 a_sigma b_sigma calculate_lower_bound: T1 -4248.666 T2 -48.1396 T3 -47.92847 Iteration 3 : lower bound -4344.734 difference 5.959453 parameters vmu 2.089955 2.305214 0.9802474 -2.2943 1.70389 -2.755052 2.398955 -2.572443 -0.3080842 -1.8672 diag(mLambda) 0.009357424 0.005479383 0.01210666 0.009380454 0.01067038 0.007993289 0.009852098 0.006041833 0.02253293 0.0211349 a_rho 84.00337 b_rho 17.99663 a_sigma b_sigma calculate_lower_bound: T1 -4248.657 T2 -48.15205 T3 -47.92845 Iteration 4 : lower bound -4344.738 difference -0.004210441 parameters vmu 2.089665 2.305241 0.9794486 -2.294553 1.704081 -2.754486 2.399184 -2.57229 -0.3092569 -1.868841 diag(mLambda) 0.009506722 0.005478045 0.01233618 0.009400417 0.01077984 0.008051188 0.009967946 0.006027864 0.02250331 0.02121321 a_rho 84.00337 b_rho 17.99663 a_sigma b_sigma [1] 100 8 NULL Time difference of 2.084503 secs $var_result $var_result$vmu [1] 2.0896655 2.3052413 0.9794486 -2.2945533 1.7040812 -2.7544864 [7] 2.3991839 -2.5722897 -0.3092569 -1.8688408
$var_result$mLambda (Intercept) x groups2 x:groups2 groups3 (Intercept) 0.009506722 -0.006810024 -0.009693908 0.007077483 -0.009543433 x -0.006810024 0.005478045 0.006940870 -0.005700327 0.006831581 groups2 -0.009693908 0.006940870 0.012336184 -0.007224387 0.009722892 x:groups2 0.007077483 -0.005700327 -0.007224387 0.009400417 -0.007097980 groups3 -0.009543433 0.006831581 0.009722892 -0.007097980 0.010779844 x:groups3 0.006991532 -0.005632224 -0.007123440 0.005849564 -0.006738496 groups4 -0.009445196 0.006760559 0.009622777 -0.007024161 0.009474876 x:groups4 0.006747138 -0.005439216 -0.006875162 0.005649940 -0.006767274 groups5 -0.010435842 0.007494819 0.010619410 -0.007773163 0.010468587 x:groups5 0.008099759 -0.006516700 -0.008236823 0.006750237 -0.008124073 x:groups3 groups4 x:groups4 groups5 x:groups5 (Intercept) 0.006991532 -0.009445196 0.006747138 -0.010435842 0.008099759 x -0.005632224 0.006760559 -0.005439216 0.007494819 -0.006516700 groups2 -0.007123440 0.009622777 -0.006875162 0.010619410 -0.008236823 x:groups2 0.005849564 -0.007024161 0.005649940 -0.007773163 0.006750237 groups3 -0.006738496 0.009474876 -0.006767274 0.010468587 -0.008124073 x:groups3 0.008051188 -0.006940005 0.005583984 -0.007687403 0.006681336 groups4 -0.006940005 0.009967946 -0.006592944 0.010364304 -0.008048975 x:groups4 0.005583984 -0.006592944 0.006027864 -0.007419028 0.006467086 groups5 -0.007687403 0.010364304 -0.007419028 0.022503309 -0.015027962 x:groups5 0.006681336 -0.008048975 0.006467086 -0.015027962 0.021213209
$var_result$a_rho [1] 84.00337
$var_result$b_rho [1] 17.99663
$var_result$a_sigma numeric(0)
$var_result$b_sigma numeric(0)
$var_result$vlower_bound [1] -4.106170e+17 -4.350693e+03 -4.344734e+03 -4.344738e+03
$vbeta_accuracy [1] 0.9223178 0.9321255
$vu_accuracy [1] 0.9530949 0.9346686 0.9326032 0.9323161 0.9308158 0.9364944 0.9189237 [8] 0.9602546
$rho_accuracy [1] 0.9036579
[1] "gva2new" N 100 p 2 m 5 blocksize 2 spline_dim 0 calculate_lower_bound: T1 -4292.737 T2 -49.86207 T3 -47.95629 a_sigma b_sigma calculate_lower_bound: T1 -4250.696 T2 -48.16968 T3 -47.9283 Iteration 2 : lower bound -4346.794 difference 43.76168 parameters vmu 2.097054 2.300623 0.9717529 -2.289799 1.696478 -2.750359 2.391713 -2.567674 -0.3238487 -1.869233 diag(mLambda) 0.0002772039 0.0002585945 0.002714801 0.003825567 0.001274922 0.002529919 0.0006452087 0.0006648273 0.01206992 0.01604501 a_rho 84.00339 b_rho 17.99661 a_sigma b_sigma calculate_lower_bound: T1 -4250.713 T2 -48.13132 T3 -47.92848 Iteration 3 : lower bound -4346.773 difference 0.02088818 parameters vmu 2.097566 2.299943 0.9716072 -2.288637 1.695939 -2.749491 2.390994 -2.567088 -0.3199915 -1.86376 diag(mLambda) 0.0002773868 0.0002585225 0.002711821 0.003823748 0.001274627 0.002565101 0.0006452489 0.0006651087 0.01199677 0.01599983 a_rho 84.00337 b_rho 17.99663 a_sigma b_sigma calculate_lower_bound: T1 -4250.709 T2 -48.13713 T3 -47.92777 Iteration 4 : lower bound -4346.774 difference -0.001010009 parameters vmu 2.094479 2.302267 0.9748108 -2.291137 1.6991 -2.751906 2.394069 -2.569463 -0.3155559 -1.868097 diag(mLambda) 0.0002774194 0.0002585368 0.00271153 0.003823654 0.001274604 0.002568743 0.0006452575 0.0006651432 0.01199424 0.01599953 a_rho 84.00347 b_rho 17.99653 a_sigma b_sigma [1] 100 8 NULL Time difference of 2.075891 secs $var_result $var_result$vmu [1] 2.0944786 2.3022674 0.9748108 -2.2911367 1.6990997 -2.7519064 [7] 2.3940692 -2.5694626 -0.3155559 -1.8680974
$var_result$mLambda 1 2 1 2 3 1 2.774194e-04 1.865033e-06 -2.463851e-05 -5.330677e-06 -1.859036e-05 2 1.865033e-06 2.585368e-04 -3.162288e-06 -2.158638e-05 -7.083789e-07 1 -2.463851e-05 -3.162288e-06 2.711530e-03 7.232348e-07 1.657832e-06 2 -5.330677e-06 -2.158638e-05 7.232348e-07 3.823654e-03 4.058501e-07 3 -1.859036e-05 -7.083789e-07 1.657832e-06 4.058501e-07 1.274604e-03 4 -2.425131e-06 -1.951697e-05 4.414230e-07 1.672172e-06 2.065185e-07 5 -1.106122e-05 7.271966e-06 8.972287e-07 -3.998449e-07 7.246534e-07 6 7.312536e-06 -3.111613e-08 -6.485195e-07 -1.338202e-07 -4.898446e-07 7 -4.127052e-05 9.158416e-07 3.651536e-06 6.935497e-07 2.762916e-06 8 -2.072022e-05 -4.610888e-05 2.373080e-06 4.230161e-06 1.492236e-06 4 5 6 7 8 1 -2.425131e-06 -1.106122e-05 7.312536e-06 -4.127052e-05 -2.072022e-05 2 -1.951697e-05 7.271966e-06 -3.111613e-08 9.158416e-07 -4.610888e-05 1 4.414230e-07 8.972287e-07 -6.485195e-07 3.651536e-06 2.373080e-06 2 1.672172e-06 -3.998449e-07 -1.338202e-07 6.935497e-07 4.230161e-06 3 2.065185e-07 7.246534e-07 -4.898446e-07 2.762916e-06 1.492236e-06 4 2.568743e-03 -4.574443e-07 -5.786903e-08 2.707655e-07 3.648649e-06 5 -4.574443e-07 6.452575e-04 2.125136e-05 1.679440e-06 -4.801365e-07 6 -5.786903e-08 2.125136e-05 6.651432e-04 -1.088226e-06 -5.318928e-07 7 2.707655e-07 1.679440e-06 -1.088226e-06 1.199424e-02 -4.195596e-03 8 3.648649e-06 -4.801365e-07 -5.318928e-07 -4.195596e-03 1.599953e-02
$var_result$a_rho [1] 84.00347
$var_result$b_rho [1] 17.99653
$var_result$a_sigma numeric(0)
$var_result$b_sigma numeric(0)
$var_result$vlower_bound [1] -4390.555 -4346.794 -4346.773 -4346.774
$vbeta_accuracy [1] 0.3031139 0.3435177
$vu_accuracy [1] 0.6712743 0.7325994 0.5152712 0.6898212 0.4117733 0.4804914 0.8437027 [8] 0.9131477
$rho_accuracy [1] 0.9036661
N 100 p 2 m 5 blocksize 2 spline_dim 0 calculate_lower_bound: T1 -4290.483 T2 -49.87728 T3 -47.95629 a_sigma b_sigma calculate_lower_bound: T1 -4248.556 T2 -48.19414 T3 -47.92916 Iteration 2 : lower bound -4344.679 difference 43.63771 parameters vmu 2.094092 2.30249 0.9749076 -2.291343 1.699598 -2.752365 2.394914 -2.569594 -0.3210242 -1.869919 diag(mLambda) 0.008481814 0.004919978 0.01120775 0.008823185 0.009748932 0.007530014 0.009149182 0.005618411 0.02106534 0.02151484 a_rho 84.00328 b_rho 17.99672 a_sigma b_sigma calculate_lower_bound: T1 -4248.571 T2 -48.15913 T3 -47.92901 Iteration 3 : lower bound -4344.66 difference 0.01938018 parameters vmu 2.093146 2.302883 0.9762684 -2.291192 1.700575 -2.752579 2.395646 -2.570119 -0.3150817 -1.866813 diag(mLambda) 0.008453264 0.004908316 0.01116759 0.008812906 0.009714952 0.007520098 0.009118001 0.005607927 0.02092649 0.02143308 a_rho 84.0033 b_rho 17.9967 a_sigma b_sigma calculate_lower_bound: T1 -4248.572 T2 -48.15807 T3 -47.92899 Iteration 4 : lower bound -4344.659 difference 0.00055306 parameters vmu 2.093039 2.302952 0.9763949 -2.291246 1.700687 -2.752644 2.395749 -2.570193 -0.3148001 -1.866767 diag(mLambda) 0.008453131 0.004908331 0.01116711 0.008812973 0.009714652 0.007520181 0.009117788 0.005607983 0.02092299 0.02143091 a_rho 84.0033 b_rho 17.9967 a_sigma b_sigma calculate_lower_bound: T1 -4248.572 T2 -48.15803 T3 -47.92899 Iteration 5 : lower bound -4344.659 difference 2.0825e-05 parameters vmu 2.093033 2.302956 0.9764015 -2.291249 1.700693 -2.752648 2.395754 -2.570197 -0.3147877 -1.866766 diag(mLambda) 0.008453145 0.004908341 0.01116711 0.008812985 0.00971466 0.007520193 0.009117799 0.005607994 0.02092289 0.02143084 a_rho 84.0033 b_rho 17.9967 a_sigma b_sigma calculate_lower_bound: T1 -4248.572 T2 -48.15803 T3 -47.92899 Iteration 6 : lower bound -4344.659 difference 8.548432e-07 parameters vmu 2.093033 2.302956 0.9764019 -2.291249 1.700694 -2.752648 2.395754 -2.570197 -0.3147871 -1.866766 diag(mLambda) 0.008453146 0.004908342 0.01116711 0.008812986 0.009714661 0.007520194 0.0091178 0.005607995 0.02092289 0.02143084 a_rho 84.0033 b_rho 17.9967 a_sigma b_sigma calculate_lower_bound: T1 -4248.572 T2 -48.15803 T3 -47.92899 Iteration 7 : lower bound -4344.659 difference 3.64098e-08 parameters vmu 2.093033 2.302956 0.9764019 -2.291249 1.700694 -2.752648 2.395755 -2.570197 -0.3147871 -1.866766 diag(mLambda) 0.008453146 0.004908342 0.01116711 0.008812986 0.009714661 0.007520194 0.0091178 0.005607995 0.02092289 0.02143084 a_rho 84.0033 b_rho 17.9967 a_sigma b_sigma calculate_lower_bound: T1 -4248.572 T2 -48.15803 T3 -47.92899 Iteration 8 : lower bound -4344.659 difference 1.578883e-09 parameters vmu 2.093033 2.302956 0.9764019 -2.291249 1.700694 -2.752648 2.395755 -2.570197 -0.3147871 -1.866766 diag(mLambda) 0.008453146 0.004908342 0.01116711 0.008812986 0.009714661 0.007520194 0.0091178 0.005607995 0.02092289 0.02143084 a_rho 84.0033 b_rho 17.9967 a_sigma b_sigma calculate_lower_bound: T1 -4248.572 T2 -48.15803 T3 -47.92899 Iteration 9 : lower bound -4344.659 difference 6.548362e-11 parameters vmu 2.093033 2.302956 0.9764019 -2.291249 1.700694 -2.752648 2.395755 -2.570197 -0.3147871 -1.866766 diag(mLambda) 0.008453146 0.004908342 0.01116711 0.008812986 0.009714661 0.007520194 0.0091178 0.005607995 0.02092289 0.02143084 a_rho 84.0033 b_rho 17.9967 a_sigma b_sigma calculate_lower_bound: T1 -4248.572 T2 -48.15803 T3 -47.92899 Iteration 10 : lower bound -4344.659 difference 2.728484e-12 parameters vmu 2.093033 2.302956 0.9764019 -2.291249 1.700694 -2.752648 2.395755 -2.570197 -0.3147871 -1.866766 diag(mLambda) 0.008453146 0.004908342 0.01116711 0.008812986 0.009714661 0.007520194 0.0091178 0.005607995 0.02092289 0.02143084 a_rho 84.0033 b_rho 17.9967 a_sigma b_sigma calculate_lower_bound: T1 -4248.572 T2 -48.15803 T3 -47.92899 Iteration 11 : lower bound -4344.659 difference 1.818989e-12 parameters vmu 2.093033 2.302956 0.9764019 -2.291249 1.700694 -2.752648 2.395755 -2.570197 -0.3147871 -1.866766 diag(mLambda) 0.008453146 0.004908342 0.01116711 0.008812986 0.009714661 0.007520194 0.0091178 0.005607995 0.02092289 0.02143084 a_rho 84.0033 b_rho 17.9967 a_sigma b_sigma calculate_lower_bound: T1 -4248.572 T2 -48.15803 T3 -47.92899 Iteration 12 : lower bound -4344.659 difference 0 parameters vmu 2.093033 2.302956 0.9764019 -2.291249 1.700694 -2.752648 2.395755 -2.570197 -0.3147871 -1.866766 diag(mLambda) 0.008453146 0.004908342 0.01116711 0.008812986 0.009714661 0.007520194 0.0091178 0.005607995 0.02092289 0.02143084 a_rho 84.0033 b_rho 17.9967 a_sigma b_sigma [1] 100 8 NULL Time difference of 1.688941 secs $var_result $var_result$vmu [,1] [1,] 2.0930326 [2,] 2.3029559 [3,] 0.9764019 [4,] -2.2912491 [5,] 1.7006935 [6,] -2.7526478 [7,] 2.3957545 [8,] -2.5701973 [9,] -0.3147871 [10,] -1.8667662
$var_result$mLambda [,1] [,2] [,3] [,4] [,5] [1,] 0.008453146 -0.006044300 -0.008430260 0.006054035 -0.008441129 [2,] -0.006044300 0.004908342 0.006029262 -0.004913884 0.006036490 [3,] -0.008430260 0.006029262 0.011167113 -0.006484645 0.008418277 [4,] 0.006054035 -0.004913884 -0.006484645 0.008812986 -0.006046209 [5,] -0.008441129 0.006036490 0.008418277 -0.006046209 0.009714661 [6,] 0.006055016 -0.004914795 -0.006039945 0.004920353 -0.005868731 [7,] -0.008446602 0.006040059 0.008423735 -0.006049785 0.008434595 [8,] 0.006048102 -0.004910678 -0.006033051 0.004916226 -0.006040285 [9,] -0.008360106 0.005982404 0.008337483 -0.005992021 0.008348227 [10,] 0.006054223 -0.004911365 -0.006039149 0.004916929 -0.006046393 [,6] [,7] [,8] [,9] [,10] [1,] 0.006055016 -0.008446602 0.006048102 -0.008360106 0.006054223 [2,] -0.004914795 0.006040059 -0.004910678 0.005982404 -0.004911365 [3,] -0.006039945 0.008423735 -0.006033051 0.008337483 -0.006039149 [4,] 0.004920353 -0.006049785 0.004916226 -0.005992021 0.004916929 [5,] -0.005868731 0.008434595 -0.006040285 0.008348227 -0.006046393 [6,] 0.007520194 -0.006050765 0.004917138 -0.005992992 0.004917840 [7,] -0.006050765 0.009117800 -0.005890534 0.008353638 -0.006049971 [8,] 0.004917138 -0.005890534 0.005607995 -0.005986160 0.004913709 [9,] -0.005992992 0.008353638 -0.005986160 0.020922889 -0.011423464 [10,] 0.004917840 -0.006049971 0.004913709 -0.011423464 0.021430839
$var_result$a_rho [1] 84.0033
$var_result$b_rho [1] 17.9967
$var_result$a_sigma numeric(0)
$var_result$b_sigma numeric(0)
$var_result$vlower_bound [1] -4388.317 -4344.679 -4344.660 -4344.659 -4344.659 -4344.659 -4344.659 [8] -4344.659 -4344.659 -4344.659 -4344.659 -4344.659
$vbeta_accuracy [1] 0.9218658 0.9196421
$vu_accuracy [1] 0.9555139 0.9244811 0.9300057 0.9253950 0.9257944 0.9294784 0.9325448 [8] 0.9585505
$rho_accuracy [1] 0.9036515
Linux log:
R version 3.1.2 (2014-10-31) -- "Pumpkin Helmet" Copyright (C) 2014 The R Foundation for Statistical Computing Platform: x86_64-pc-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R.
$var_result$mLambda (Intercept) x groups2 x:groups2 groups3 (Intercept) 0.007154014 -0.005154323 -0.007136626 0.005163922 -0.007144532 x -0.005154323 0.004295960 0.005143068 -0.004301498 0.005148240 groups2 -0.007136626 0.005143068 0.009425739 -0.005162749 0.007127168 x:groups2 0.005163922 -0.004301498 -0.005162749 0.007527698 -0.005157824 groups3 -0.007144532 0.005148240 0.007127168 -0.005157824 0.008289927 x:groups3 0.005162642 -0.004300897 -0.005151365 0.004306450 -0.004903491 groups4 -0.007149408 0.005151363 0.007132031 -0.005160954 0.007139932 x:groups4 0.005156909 -0.004297504 -0.005145647 0.004303047 -0.005150822 groups5 -0.007097451 0.005116721 0.007080207 -0.005126237 0.007088048 x:groups5 0.005150843 -0.004291441 -0.005139592 0.004296980 -0.005144762 x:groups3 groups4 x:groups4 groups5 x:groups5 (Intercept) 0.005162642 -0.007149408 0.005156909 -0.007097451 0.005150843 x -0.004300897 0.005151363 -0.004297504 0.005116721 -0.004291441 groups2 -0.005151365 0.007132031 -0.005145647 0.007080207 -0.005139592 x:groups2 0.004306450 -0.005160954 0.004303047 -0.005126237 0.004296980 groups3 -0.004903491 0.007139932 -0.005150822 0.007088048 -0.005144762 x:groups3 0.006438819 -0.005159675 0.004302446 -0.005124969 0.004296379 groups4 -0.005159675 0.007716174 -0.005056923 0.007092883 -0.005147884 x:groups4 0.004302446 -0.005056923 0.004915965 -0.005119285 0.004292986 groups5 -0.005124969 0.007092883 -0.005119285 0.016429939 -0.009887394 x:groups5 0.004296379 -0.005147884 0.004292986 -0.009887394 0.015130470
$var_result$a_rho [1] 84.00326
$var_result$b_rho [1] 17.99674
$var_result$a_sigma numeric(0)
$var_result$b_sigma numeric(0)
$var_result$vlower_bound [1] -4.106170e+17 -4.350599e+03 -4.344772e+03 -4.344774e+03
$vbeta_accuracy [1] 0.9035163 0.9057978
$vu_accuracy [1] 0.9168333 0.9106049 0.9179837 0.9240022 0.9067588 0.9171403 0.9006352 [8] 0.8843505
$rho_accuracy [1] 0.9294158
N 100 p 2 m 5 blocksize 2 spline_dim 0 calculate_lower_bound: T1 -4290.507 T2 -49.87344 T3 -47.95629 a_sigma b_sigma calculate_lower_bound: T1 -4248.556 T2 -48.19419 T3 -47.92916 Iteration 2 : lower bound -4344.679 difference 43.6573 parameters vmu 2.09409 2.302492 0.974904 -2.291347 1.699599 -2.752365 2.394914 -2.569596 -0.3210042 -1.869959 diag(mLambda) 0.008481679 0.004919913 0.0112074 0.008822642 0.009748994 0.007528633 0.009148985 0.005618053 0.0210578 0.02150873 a_rho 84.00328 b_rho 17.99672 a_sigma b_sigma calculate_lower_bound: T1 -4248.571 T2 -48.15913 T3 -47.92901 Iteration 3 : lower bound -4344.66 difference 0.01940456 parameters vmu 2.093146 2.302883 0.9762685 -2.291192 1.700576 -2.752579 2.395646 -2.570119 -0.3150815 -1.866813 diag(mLambda) 0.008453228 0.004908299 0.01116755 0.008812885 0.009714915 0.00752008 0.009117964 0.005607909 0.02092631 0.02143282 a_rho 84.0033 b_rho 17.9967 a_sigma b_sigma calculate_lower_bound: T1 -4248.572 T2 -48.15807 T3 -47.92899 Iteration 4 : lower bound -4344.659 difference 0.0005529186 parameters vmu 2.093039 2.302952 0.976395 -2.291246 1.700687 -2.752644 2.395749 -2.570193 -0.3148003 -1.866767 diag(mLambda) 0.008453131 0.00490833 0.01116711 0.008812966 0.009714652 0.007520178 0.009117788 0.005607981 0.02092304 0.02143098 a_rho 84.0033 b_rho 17.9967 a_sigma b_sigma calculate_lower_bound: T1 -4248.572 T2 -48.15803 T3 -47.92899 Iteration 5 : lower bound -4344.659 difference 2.113186e-05 parameters vmu 2.093033 2.302956 0.9764016 -2.291249 1.700693 -2.752648 2.395754 -2.570197 -0.3147875 -1.866766 diag(mLambda) 0.008453145 0.004908341 0.01116711 0.008812988 0.009714659 0.007520194 0.009117799 0.005607995 0.02092289 0.02143083 a_rho 84.0033 b_rho 17.9967 a_sigma b_sigma calculate_lower_bound: T1 -4248.572 T2 -48.15803 T3 -47.92899 Iteration 6 : lower bound -4344.659 difference 5.468974e-07 parameters vmu 2.093032 2.302956 0.9764023 -2.291249 1.700694 -2.752648 2.395755 -2.570198 -0.3147866 -1.866767 diag(mLambda) 0.008453146 0.004908345 0.01116712 0.008812998 0.009714662 0.007520199 0.009117801 0.005607998 0.02092289 0.02143081 a_rho 84.0033 b_rho 17.9967 a_sigma b_sigma calculate_lower_bound: T1 -4248.572 T2 -48.15803 T3 -47.92899 Iteration 7 : lower bound -4344.659 difference 3.403011e-07 parameters vmu 2.093033 2.302956 0.9764017 -2.291249 1.700693 -2.752648 2.395754 -2.570197 -0.3147873 -1.866766 diag(mLambda) 0.008453147 0.004908342 0.01116711 0.008812986 0.009714661 0.007520193 0.009117799 0.005607994 0.02092288 0.02143082 a_rho 84.0033 b_rho 17.9967 a_sigma b_sigma calculate_lower_bound: T1 -4248.572 T2 -48.15803 T3 -47.92899 Iteration 8 : lower bound -4344.659 difference -1.964881e-07 parameters vmu 2.093032 2.302956 0.9764023 -2.291249 1.700694 -2.752648 2.395755 -2.570198 -0.3147865 -1.866767 diag(mLambda) 0.008453147 0.004908342 0.01116711 0.00881299 0.00971466 0.007520198 0.009117801 0.005607997 0.02092289 0.02143083 a_rho 84.0033 b_rho 17.9967 a_sigma b_sigma [1] 100 8 NULL Time difference of 3.73424 secs $var_result $var_result$vmu [1] 2.0930321 2.3029562 0.9764023 -2.2912495 1.7006940 -2.7526481 [7] 2.3957550 -2.5701976 -0.3147865 -1.8667666
$var_result$mLambda [,1] [,2] [,3] [,4] [,5] [1,] 0.008453147 -0.006044300 -0.008430261 0.006054039 -0.008441128 [2,] -0.006044300 0.004908342 0.006029261 -0.004913886 0.006036489 [3,] -0.008430261 0.006029261 0.011167115 -0.006484648 0.008418278 [4,] 0.006054039 -0.004913886 -0.006484648 0.008812990 -0.006046212 [5,] -0.008441128 0.006036489 0.008418278 -0.006046212 0.009714660 [6,] 0.006055017 -0.004914797 -0.006039947 0.004920356 -0.005868732 [7,] -0.008446602 0.006040059 0.008423736 -0.006049789 0.008434593 [8,] 0.006048102 -0.004910679 -0.006033052 0.004916228 -0.006040285 [9,] -0.008360108 0.005982405 0.008337484 -0.005992025 0.008348227 [10,] 0.006054225 -0.004911368 -0.006039150 0.004916931 -0.006046394 [,6] [,7] [,8] [,9] [,10] [1,] 0.006055017 -0.008446602 0.006048102 -0.008360108 0.006054225 [2,] -0.004914797 0.006040059 -0.004910679 0.005982405 -0.004911368 [3,] -0.006039947 0.008423736 -0.006033052 0.008337484 -0.006039150 [4,] 0.004920356 -0.006049789 0.004916228 -0.005992025 0.004916931 [5,] -0.005868732 0.008434593 -0.006040285 0.008348227 -0.006046394 [6,] 0.007520198 -0.006050766 0.004917140 -0.005992994 0.004917842 [7,] -0.006050766 0.009117801 -0.005890535 0.008353638 -0.006049972 [8,] 0.004917140 -0.005890535 0.005607997 -0.005986161 0.004913711 [9,] -0.005992994 0.008353638 -0.005986161 0.020922894 -0.011423447 [10,] 0.004917842 -0.006049972 0.004913711 -0.011423447 0.021430829
$var_result$a_rho [1] 84.0033
$var_result$b_rho [1] 17.9967
$var_result$a_sigma numeric(0)
$var_result$b_sigma numeric(0)
$var_result$vlower_bound [1] -4388.336 -4344.679 -4344.660 -4344.659 -4344.659 -4344.659 -4344.659 [8] -4344.659
$vbeta_accuracy [1] 0.9308112 0.9251300
$vu_accuracy [1] 0.9332386 0.9255522 0.9373222 0.9434991 0.9286187 0.9388787 0.9601703 [8] 0.9324045
$rho_accuracy [1] 0.9294196
N 100 p 2 m 5 blocksize 2 spline_dim 0 Error in optim(par = vmu, fn = f.GVA_new, gr = vg.GVA_new, method = method, : non-finite value supplied by optim Calls: test_accuracies_slope ... zero_infl_var -> zero_infl_var.multivariate -> fit.GVA_new -> optim Execution halted