rbmi (development version)

Include vignette on how to obtain frequentist and information-anchored inference with conditional mean imputation using rbmi
Added FAQ vignette
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.

rbmi 1.2.6

Updated unit tests to fix false-positive error on CRAN's testing servers

rbmi 1.2.5

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

Minor internal tweaks to ensure compatibility with the packages rbmi depends on

rbmi 1.2.1

Removed native pipes |> in testing code so package is backwards compatible with older servers
Replaced our glmmTMB dependency with the mmrm 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

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()

rbmi 1.1.1 & 1.1.3

No change in functionality from 1.1.0
Various minor tweaks to address CRAN checks messages

rbmi 1.1.0

Initial public release