More examples of AIC / BIC / loo

[gowerc]

This PR adds more examples of using AIC / BIC / LOO as well as an log-logistic example.

I don't think there are any meaningful changes to the package here so more just an FYI.

Can't be merged until #259 has been merged as its built on top of that branch.

[github-actions]

Code Coverage Summary

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                  74       1  98.65%   146
R/defaults.R                      10       6  40.00%   18-57, 84
R/generics.R                      19       1  94.74%   49
R/JointModel.R                   122       8  93.44%   142-144, 194, 198, 240, 286, 292
R/JointModelSamples.R             54       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             35      12  65.71%   68-83
R/LongitudinalQuantities.R        85       8  90.59%   100-107
R/LongitudinalRandomSlope.R       27       0  100.00%
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                      11      11  0.00%    40-53
R/simulations_gsf.R               41       0  100.00%
R/simulations_os.R                11       5  54.55%   35-39
R/simulations_rs.R                21       0  100.00%
R/simulations.R                   99       1  98.99%   122
R/StanModel.R                     15       0  100.00%
R/StanModule.R                   177       6  96.61%   199-200, 242, 253, 388, 416
R/SurvivalExponential.R           10       0  100.00%
R/SurvivalLoglogistic.R           11       0  100.00%
R/SurvivalModel.R                 19       0  100.00%
R/SurvivalQuantities.R           151       6  96.03%   173-178
R/SurvivalWeibullPH.R             11       0  100.00%
R/utilities.R                    145       1  99.31%   13
R/zzz.R                            2       2  0.00%    3-12
TOTAL                           2143      90  95.80%

Diff against main

Filename      Stmts    Miss  Cover
----------  -------  ------  --------
TOTAL             0       0  +100.00%

Results for commit: 778f254

Minimum allowed coverage is 80%

♻️ This comment has been updated with latest results

[github-actions]

Unit Tests Summary

  1 files   34 suites   5m 49s ⏱️
102 tests  78 ✅ 24 💤 0 ❌
783 runs  759 ✅ 24 💤 0 ❌

Results for commit b84b0b0.

[github-actions]

Unit Test Performance Difference

Test Suite	$Status$	Time on main	$±Time$	$±Tests$	$±Skipped$	$±Failures$	$±Errors$
LongitudinalGSF	💚	$63.10$	$-2.75$	$0$	$0$	$0$	$0$
model_random_slope_2chain	💚	$39.48$	$-1.72$	$0$	$0$	$0$	$0$
stan_functions	💚	$49.02$	$-1.03$	$0$	$0$	$0$	$0$

Additional test case details

Test Suite	$Status$	Time on main	$±Time$	Test Case
LongitudinalGSF	💚	$31.95$	$-2.11$	Can_recover_known_distributional_parameters_from_a_full_GSF_joint_model
LongitudinalQuantiles	💚	$38.26$	$-1.17$	Test_that_LongitudinalQuantities_works_as_expected
model_random_slope_2chain	💚	$39.48$	$-1.72$	Can_recover_known_distribution_parameters_from_random_slope_model_when_using_multiple_chains

Results for commit 3ad596c

♻️ This comment has been updated with latest results.

[danielinteractive]

sounds good, thanks Craig