wwiecek/baggr:

Binaries are available on CRAN baggr 0.6.3-0.6.4 (May 2021) Various documentation fixes for re-submission of v0.6 to CRAN (first one since v0.4). Added summary option for effect_draw. Factor covariates will work (better) now. Removed some non-essential code for faster compilation on CRAN. baggr 0.6.2 (April 2021) New "mutau_full" model is a generalisation of the "mutau" model into individual-level data. The idea is similar as for the recent "rubin_full" changes, see version 0.6.0. I also reparameterised the mutau model. It should be faster and have fewer divergent transition warnings.Some of the code around the mu and tau model has also been rewritten on the back end. On the back end the package now follows the rstantools recommended way of compiling models. The user experience should be exactly the same, but this may avoid some problems when installing the package from GitHub or otherwise compiling it locally. baggr 0.6.0 (February 2021) New features Spike and slab model can be called via model="sslab". See ?baggr for basics of working with this type of a model. A vignette will be added soon. Rubin model with full data is now called via model="rubin_full" rather than "full". Old syntax will still work, however. Made some documentation and code improvements around this issue. Leave-one-out cross-validation works for model="rubin_full" now. It works the same way as for model="logit". See ?baggr for more information on how to use it. It's now possible to use model="rubin" with the same inputs as model="mutau". Some data columns are removed automatically in that case. For v0.6 we added more generic code around plotting, printing, grabbing treatment effects etc. While there are no differences on the front-end, this means that for the next versions we will be able to consider some new models and have more homogeneous syntax for all models. Bugs Fixed a few issues with formatting data for individual-level data models. Fixed a major bug with distributions of baselines in the rubin_full (full) model. Fixed glitchy display for some baggr_compare plots. baggr 0.5.0 (June 2020) New features Fixed and random effects for baggr models now have their own separate functions, fixed_effects and random_effects, in addition to group_effects LOO CV works for the logistic model (as does general cross-validation). Vignette for binary data analysis has been rewritten in parts. L'Abbe plots for binary data, see labbe(). There is now more automatic conversion between summary-level and individual-level data for binary data (e.g. you can run baggr() with summary data and model="logit" for automatic conversion) For logistic model, priors can be specified for rates of events in the control arm, see arguments prior_control and prior_control_sd in baggr() There are experimental features for working with models of quantiles. We advise against fitting such models using the package until these features have been fully tested and documented. Bug fixes Fixed some issues with printing of coefficients in meta-regressions, where wrong values were given for some models