Multiple variances (Claret)

[gowerc]

Address's the Claret-Bruno part of #389

[github-actions]

Code Coverage Summary

Filename                           Stmts    Miss  Cover    Missing
-------------------------------  -------  ------  -------  --------------------------------
R/brier_score.R                      167       0  100.00%
R/DataJoint.R                         76       2  97.37%   264, 270
R/DataLongitudinal.R                 119       1  99.16%   244
R/DataSubject.R                       85       1  98.82%   142
R/DataSurvival.R                      98       0  100.00%
R/defaults.R                          10       6  40.00%   18-57, 84
R/generics.R                          34       4  88.24%   52, 396, 416, 471
R/Grid.R                              27       1  96.30%   173
R/GridEven.R                          32       0  100.00%
R/GridEvent.R                         22       0  100.00%
R/GridFixed.R                         30       0  100.00%
R/GridGrouped.R                       52       0  100.00%
R/GridManual.R                        23       3  86.96%   78-80
R/GridObserved.R                      20       0  100.00%
R/GridPopulation.R                    31       4  87.10%   61, 69-71
R/GridPrediction.R                    36       6  83.33%   83, 91-95
R/JointModel.R                       126      10  92.06%   146-151, 201, 205, 247, 293, 299
R/JointModelSamples.R                 66       0  100.00%
R/link_generics.R                     16       4  75.00%   59, 76, 91, 106
R/Link.R                              62       4  93.55%   200-203
R/LinkComponent.R                     19       3  84.21%   88, 120-121
R/LongitudinalClaretBruno.R           89       6  93.26%   164-168, 183
R/LongitudinalGSF.R                   94       0  100.00%
R/LongitudinalModel.R                 19       0  100.00%
R/LongitudinalQuantities.R            71       0  100.00%
R/LongitudinalRandomSlope.R           44       5  88.64%   102-106
R/LongitudinalSteinFojo.R             85       5  94.12%   155-159
R/Parameter.R                         14       0  100.00%
R/ParameterList.R                     42       1  97.62%   184
R/Prior.R                            254       6  97.64%   507, 651-665
R/Promise.R                           25       0  100.00%
R/Quantities.R                        60       0  100.00%
R/QuantityGeneratorPopulation.R       22       0  100.00%
R/QuantityGeneratorPrediction.R       48       0  100.00%
R/QuantityGeneratorSubject.R          19       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/SimLongitudinalClaretBruno.R        72       0  100.00%
R/SimLongitudinalGSF.R                62       0  100.00%
R/SimLongitudinalRandomSlope.R        42       0  100.00%
R/SimLongitudinalSteinFojo.R          52       0  100.00%
R/SimSurvival.R                      104       0  100.00%
R/StanModel.R                         15       0  100.00%
R/StanModule.R                       176       6  96.59%   192-193, 235, 246, 383, 411
R/SurvivalExponential.R               10       0  100.00%
R/SurvivalLoglogistic.R               11       0  100.00%
R/SurvivalModel.R                     19       0  100.00%
R/SurvivalQuantities.R               170       1  99.41%   125
R/SurvivalWeibullPH.R                 11       0  100.00%
R/utilities.R                        144       2  98.61%   13, 335
R/zzz.R                               28      25  10.71%   3, 8-12, 14-35, 47
TOTAL                               3047     121  96.03%

Diff against main

Filename                          Stmts    Miss  Cover
------------------------------  -------  ------  --------
R/SimLongitudinalClaretBruno.R      +20       0  +100.00%
TOTAL                               +20       0  +0.03%

Results for commit: a545be4

Minimum allowed coverage is 80%

♻️ This comment has been updated with latest results

[github-actions]

Unit Tests Summary

    1 files    162 suites   6m 30s ⏱️
  140 tests   137 ✅ 3 💤 0 ❌
1 059 runs  1 055 ✅ 4 💤 0 ❌

Results for commit a545be4.

[github-actions]

Unit Test Performance Difference

Test Suite	$Status$	Time on main	$±Time$	$±Tests$	$±Skipped$	$±Failures$	$±Errors$
JointModelSamples	💔	$10.11$	$+21.89$	$0$	$-1$	$0$	$0$
compile	💚	$10.56$	$-4.98$	$0$	$0$	$0$	$0$
extract_quantities	💚	$12.33$	$-12.17$	$0$	$0$	$0$	$0$
misc_models	💚	$11.68$	$-1.46$	$0$	$0$	$0$	$0$
model_multi_chain	💚	$56.53$	$-29.02$	$0$	$0$	$0$	$0$

Additional test case details

Test Suite	$Status$	Time on main	$±Time$	Test Case
Grid	💚	$109.58$	$-59.55$	Grid_objects_work_with_QuantityGenerator_and_QuantityCollapser
GridPrediction	💔	$121.76$	$+1.34$	GridPrediction_works_as_expected_for_Survival_models
JointModelSamples	💔	$10.11$	$+21.89$	print_works_as_expected_for_JointModelSamples
LongitudinalClaretBruno	💚	$1195.30$	$-1189.84$	LongitudinalClaretBruno_works_as_expected_with_default_arguments
LongitudinalGSF	💚	$448.63$	$-442.29$	LongitudinalGSF_works_as_expected_with_default_arguments
LongitudinalQuantiles	💚	$55.35$	$-47.48$	Test_that_LongitudinalQuantities_works_as_expected
LongitudinalRandomSlope	💚	$72.42$	$-67.72$	Print_method_for_LongitudinalRandomSlope_works_as_expected
LongitudinalSteinFojo	💚	$1442.36$	$-1435.60$	LongitudinalSteinFojo_works_as_expected_with_default_arguments
SurvivalExponential	💚	$27.14$	$-3.74$	SurvivalExponential_can_recover_true_parameter_including_covariates_
SurvivalLoglogistic	💚	$29.64$	$-9.57$	sim_os_loglogistic_is_consistant_with_flexsurv
SurvivalQuantities	💚	$80.04$	$-78.89$	SurvivalQuantities_and_autoplot.SurvivalQuantities_works_as_expected
SurvivalWeibullPH	💚	$11.74$	$-3.11$	Print_method_for_SurvivalWeibullPH_works_as_expected
brierScore	💔	$19.18$	$+17.92$	brierScore_SurvivalQuantities_returns_same_results_as_survreg
compile	💚	$10.56$	$-4.98$	compileStanModel_doesn_t_error_if_the_directory_doesn_t_exist
extract_quantities	💚	$12.33$	$-12.17$	extract_quantities_works_as_expected
misc_models	💚	$11.68$	$-1.46$	Longitudinal_Model_doesn_t_print_sampler_rejection_messages
model_multi_chain	💚	$56.53$	$-29.02$	Can_recover_known_distribution_parameters_from_random_slope_model_when_using_multiple_chains
stan_functions	💚	$39.44$	$-38.93$	GSF_SLD_function_works_as_expected

Results for commit e040ba4

♻️ This comment has been updated with latest results.