Closed gowerc closed 7 months ago
Filename Stmts Miss Cover Missing
------------------------------ ------- ------ ------- --------------------------------
R/brier_score.R 166 0 100.00%
R/DataJoint.R 76 2 97.37% 264, 270
R/DataLongitudinal.R 119 1 99.16% 245
R/DataSubject.R 69 1 98.55% 124
R/DataSurvival.R 77 0 100.00%
R/defaults.R 10 6 40.00% 18-57, 84
R/generics.R 23 1 95.65% 49
R/JointModel.R 122 8 93.44% 142-144, 194, 198, 240, 286, 292
R/JointModelSamples.R 55 0 100.00%
R/Link.R 55 4 92.73% 159-162
R/LinkComponent.R 47 5 89.36% 100, 118, 132-149
R/LongitudinalGSF.R 64 0 100.00%
R/LongitudinalModel.R 37 12 67.57% 70-85
R/LongitudinalQuantities.R 85 0 100.00%
R/LongitudinalRandomSlope.R 27 0 100.00%
R/LongitudinalSteinFojo.R 57 8 85.96% 113-135
R/Parameter.R 14 0 100.00%
R/ParameterList.R 42 1 97.62% 184
R/Prior.R 236 8 96.61% 480, 576, 588-606
R/Quantities.R 105 0 100.00%
R/settings.R 12 12 0.00% 55-69
R/SimGroup.R 5 0 100.00%
R/SimJointData.R 72 1 98.61% 103
R/SimLongitudinal.R 5 2 60.00% 22, 40
R/SimLongitudinalGSF.R 51 0 100.00%
R/SimLongitudinalRandomSlope.R 42 0 100.00%
R/SimLongitudinalSteinFojo.R 48 0 100.00%
R/SimSurvival.R 104 0 100.00%
R/StanModel.R 15 0 100.00%
R/StanModule.R 179 6 96.65% 199-200, 242, 253, 390, 418
R/SurvivalExponential.R 10 0 100.00%
R/SurvivalLoglogistic.R 11 0 100.00%
R/SurvivalModel.R 19 0 100.00%
R/SurvivalQuantities.R 155 6 96.13% 178-183
R/SurvivalWeibullPH.R 11 0 100.00%
R/utilities.R 146 1 99.32% 13
R/zzz.R 28 25 10.71% 3, 8-12, 14-35, 47
TOTAL 2399 110 95.41%
Filename Stmts Miss Cover
---------- ------- ------ --------
TOTAL 0 0 +100.00%
Results for commit: 3f21430f018aa5c7559490302ea5871fe003c0ec
Minimum allowed coverage is 80%
:recycle: This comment has been updated with latest results
1 files 40 suites 5m 52s :stopwatch: 122 tests 91 :white_check_mark: 31 :zzz: 0 :x: 853 runs 822 :white_check_mark: 31 :zzz: 0 :x:
Results for commit 3f21430f.
:recycle: This comment has been updated with latest results.
Test Suite | $Status$ | Time on main |
$±Time$ | $±Tests$ | $±Skipped$ | $±Failures$ | $±Errors$ |
---|---|---|---|---|---|---|---|
JointModelSamples | 💔 | $31.73$ | $+1.60$ | $0$ | $0$ | $0$ | $0$ |
LongitudinalQuantiles | 💔 | $41.16$ | $+4.17$ | $0$ | $0$ | $0$ | $0$ |
LongitudinalRandomSlope | 💔 | $34.32$ | $+12.99$ | $+3$ | $0$ | $0$ | $0$ |
SurvivalQuantities | 💔 | $14.40$ | $+2.15$ | $0$ | $0$ | $0$ | $0$ |
SurvivalWeibullPH | 💔 | $28.60$ | $+1.02$ | $0$ | $0$ | $0$ | $0$ |
model_multi_chain | 💔 | $39.33$ | $+3.37$ | $0$ | $0$ | $0$ | $0$ |
Results for commit b871162099c4f4cf8ff3cf0d57135c25282280bc
♻️ This comment has been updated with latest results.
Closes #287
Note that this PR is dependent on #289 being merged first as I needed to use some of the changes that had already been made in that branch (namely enabling jinja rendering of the longitudinal models base file)
Main changes include:
csr_matrix_times_vector()
code out of the individual model files and into the base longitudinal model file. My thinking is that this simplifies the cognitive load for using this function when writing future longitudinal modelsYpred_log_lik
which contains the log likelihood values per observation (this is opposed tolog_lik
which contains the log-likelihood values per patientYpred_log_lik