v1.4.1

What's Changed

• Fix CRAN errors by @gowerc in #484
• Fix Reproducibility test failures by @gowerc in #485
• Prepare Release 1.4.1 by @gowerc in #487

Full Changelog: v1.4.0...v1.4.1

v1.4.0

What's Changed

• fix: Use newer R and theValidatoR versions by @cicdguy in #465
• Update rbmi cache documentation by @gowerc in #468
• Ensure reproducible if using model cache by @gowerc in #470
• Fix lsmeans to work if only 1 categorical variable exists in the dataset by @gowerc in #473
• Removed R4.1 features for backwards compatibility by @gowerc in #475
• add design doc to align on MCMC options enhancements by @danielinteractive in #472
• Add control_bayes() and update code and documentation by @danielinteractive in #477
• Prepare for release 1.4.0 by @gowerc in #479

New Contributors

• @danielinteractive made their first contribution in #472

Full Changelog: v1.3.1...v1.4.0

v1.3.1

What's Changed

• Bump Version by @gowerc in #457
• 458 cran crash by @gravesti in #459
• Add unit test for blank data_ice by @gowerc in #461
• Release v1.3.1 by @gowerc in #464

New Contributors

• @gravesti made their first contribution in #459

Full Changelog: v1.3.0...v1.3.1

rbmi v1.3.0

Breaking Changes

• Convert rstan to be a suggested package to simplify the installation process. This means that the Bayesian imputation functionality will not be available by default. To use this feature, you will need to install rstan separately (#441)
• Deprecated the seed argument to method_bayes() in favour of using the base set.seed() function (#431)

New Features

• Added vignette on how to implement retrieved dropout models with time-varying intercurrent event (ICE) indicators (#414)
• Added vignette on how to obtain frequentist and information-anchored inference with conditional mean imputation using rbmi (#406)
• Added FAQ vignette including a statement on validation (#407 #440)
• Updates to lsmeans() for better consistency with the emmeans package (#412)
  • Renamed lsmeans(..., weights = "proportional") to lsmeans(..., weights = "counterfactual")to more accurately reflect the weights used in the calculation.
  • Added lsmeans(..., weights = "proportional_em") which provides consistent results with emmeans(..., weights = "proportional")
  • lsmeans(..., weights = "proportional") has been left in the package for backwards compatibility and is an alias for lsmeans(..., weights = "counterfactual") but now gives
    a message prompting users to use either "proptional_em" or "counterfactual" instead.
• Added support for parallel processing in the analyse() function (#370)
• Added documentation clarifying potential false-positive warnings from rstan (#288)
• Added support for all covariance structures supported by the mmrm package (#437)
• Updated rbmi citation detail (#423 #425)

Miscellaneous Bug Fixes

• Stopped warning messages being accidentally supressed when changing the ICE type in impute() (#408)
• Fixed equations not rendering properly in the pkgdown website (#433)

rbmi v1.2.5

• Minor tweaks to address CRAN check NOTEs

rbmi v1.2.4

• Updated Stan syntax to ensure future compatibility
• Updated package description to contain relevant references
• Fixed several typos in the documentation

rbmi 1.2.3

Minor changes to resolve R CMD CHECK notes

rbmi 1.2.1

Trivial updates to get unit tests working in legacy servers

rbmi 1.2.0

CRAN Release Candidate

Swapped out glmmTMB dependency for mmrm package

rbmi 1.1.4

Merge pull request #353 from insightsengineering/cran-1.1.4

prep for cran release