Releases | Open Source Science

What's Changed

Fix CRAN errors by @gowerc in https://github.com/insightsengineering/rbmi/pull/484
Fix Reproducibility test failures by @gowerc in https://github.com/insightsengineering/rbmi/pull/485
Prepare Release 1.4.1 by @gowerc in https://github.com/insightsengineering/rbmi/pull/487

Full Changelog: https://github.com/insightsengineering/rbmi/compare/v1.4.0...v1.4.1

Scientific Software - Peer-reviewed - R
Published by gravesti about 1 year ago

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

@danielinteractive made their first contribution in https://github.com/insightsengineering/rbmi/pull/472

Full Changelog: https://github.com/insightsengineering/rbmi/compare/v1.3.1...v1.4.0

Scientific Software - Peer-reviewed - R
Published by gowerc about 1 year ago

Bump Version by @gowerc in https://github.com/insightsengineering/rbmi/pull/457
458 cran crash by @gravesti in https://github.com/insightsengineering/rbmi/pull/459
Add unit test for blank data_ice by @gowerc in https://github.com/insightsengineering/rbmi/pull/461
Release v1.3.1 by @gowerc in https://github.com/insightsengineering/rbmi/pull/464

@gravesti made their first contribution in https://github.com/insightsengineering/rbmi/pull/459

Full Changelog: https://github.com/insightsengineering/rbmi/compare/v1.3.0...v1.3.1

Scientific Software - Peer-reviewed - R
Published by gowerc about 1 year ago

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)

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)

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

Scientific Software - Peer-reviewed - R
Published by gowerc over 1 year ago