Changelog
Source:NEWS.md
rbmi 1.3.0
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 installrstan
separately (#441) - Deprecated the
seed
argument tomethod_bayes()
in favour of using the baseset.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 theemmeans
package (#412)- Renamed
lsmeans(..., weights = "proportional")
tolsmeans(..., weights = "counterfactual")
to more accurately reflect the weights used in the calculation. - Added
lsmeans(..., weights = "proportional_em")
which provides consistent results withemmeans(..., weights = "proportional")
-
lsmeans(..., weights = "proportional")
has been left in the package for backwards compatibility and is an alias forlsmeans(..., weights = "counterfactual")
but now gives a message prompting users to use either “proptional_em” or “counterfactual” instead.
- Renamed
- 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)
rbmi 1.2.6
CRAN release: 2023-11-24
- Updated unit tests to fix false-positive error on CRAN’s testing servers
rbmi 1.2.5
CRAN release: 2023-09-20
- Updated internal Stan code to ensure future compatibility (@andrjohns, #390)
- Updated package description to include relevant references (#393)
- Fixed documentation typos (#393)
rbmi 1.2.3
CRAN release: 2022-11-14
- Minor internal tweaks to ensure compatibility with the packages
rbmi
depends on
rbmi 1.2.1
CRAN release: 2022-10-25
- Removed native pipes
|>
in testing code so package is backwards compatible with older servers - Replaced our
glmmTMB
dependency with themmrm
package. This has resulted in the package being more stable (less model fitting convergence issues) as well as speeding up run times 3-fold.
rbmi 1.1.4
CRAN release: 2022-05-18
- Updated urls for references in vignettes
- Fixed a bug where visit factor levels were re-constructed incorrectly in
delta_template()
- Fixed a bug where the wrong visit was displayed in the error message for when a specific visit doesn’t have any data in
draws()
- Fixed a bug where the wrong input parameter was displayed in an error message in
simulate_data()