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roxy
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Asymmetric errors
#31
DeaglanBartlett
opened
6 months ago
0
Add option to change optimiser
#30
DeaglanBartlett
closed
9 months ago
0
Alternative optimisers
#29
DeaglanBartlett
closed
9 months ago
0
27 add explanation about when to use each likelihood
#28
DeaglanBartlett
closed
9 months ago
0
Add explanation about when to use each likelihood
#27
DeaglanBartlett
closed
9 months ago
0
Correct output of reg.optimise() in tutorial
#26
DeaglanBartlett
closed
9 months ago
0
Tutorial explains output of optimise incorrectly
#25
DeaglanBartlett
closed
9 months ago
0
Added non-diagonal covariance test
#24
DeaglanBartlett
closed
10 months ago
1
Make tests for non-diagonal covariance matrix
#23
DeaglanBartlett
closed
10 months ago
0
21 determining the direction of causality
#22
DeaglanBartlett
closed
12 months ago
0
Determining the direction of causality
#21
harrydesmond
closed
12 months ago
0
19 specify system wide dependencies
#20
DeaglanBartlett
closed
1 year ago
0
Specify system-wide dependencies
#19
DeaglanBartlett
closed
1 year ago
2
Add unit tests for critical functions
#18
DeaglanBartlett
closed
1 year ago
6
16 tutorial does not run as currently implemented
#17
DeaglanBartlett
closed
1 year ago
0
Tutorial does not run as currently implemented
#16
DeaglanBartlett
closed
1 year ago
2
Outlier / multiple population modelling
#15
harrydesmond
opened
1 year ago
0
13 use gradient information in optimisation
#14
DeaglanBartlett
closed
1 year ago
0
Use gradient information in optimisation
#13
DeaglanBartlett
closed
1 year ago
0
update max bias example
#12
DeaglanBartlett
closed
1 year ago
0
Add num_chains argument to mcmc function
#11
DeaglanBartlett
closed
1 year ago
0
Add argument for multiple chains
#10
DeaglanBartlett
closed
1 year ago
1
Non-Gaussian error distributions
#9
harrydesmond
opened
1 year ago
0
Enable parameter optimisation for method='gmm' and gmm_prior='hyper'
#8
DeaglanBartlett
closed
1 year ago
1
Mention fixed parameters in tutorial
#7
DeaglanBartlett
closed
1 year ago
1
Allow arbitrary covariance matrix rather than just diagonal
#6
DeaglanBartlett
opened
1 year ago
1
Add a tutorial for GMM
#5
DeaglanBartlett
closed
1 year ago
1
Ensure weights of GMM are ordered weight0 <= weight1 <= ...
#4
DeaglanBartlett
closed
1 year ago
1
Implement Kelly priors for GMM
#3
DeaglanBartlett
closed
1 year ago
1
AIC/BIC comparison for GMM
#2
DeaglanBartlett
closed
1 year ago
1
Improve initialisation for GMM likelihood
#1
DeaglanBartlett
closed
1 year ago
1