bpcs - release v.1.0.1
Wed, Dec 16, 2020
One-minute read
This is a minor release to streamline the usage of the bpcs package, correct a few bugs and add publication-ready functions for tables and figures
See below the release notes:
- removed ties_pred from models that do not have ties
- fixed predict for models with ties, so we return a vector y_pred with 0, 1, 2 and not separate as now
- removed posterior distributions from the get_rank_of_players and get_probabilities. Now we have new functions to obtain the data frame or the posterior distributions separately. The posterior is now returned as matrix
- Probabilities table is now optional in the summary function
- New functions to get the probabilities for specific data
get_probabilities_newdata_df
andget_probabilities_newdata_posterior
- Publication ready functions for
- plots:
get_parameters_plot
function and a thin S3 plot wrapper for the same function. Plots are default to APA. - tables: Functions for publication tables:
get_parameter_table
,get_probabilities_table
andget_rank_of_players_table
- plots:
get_hpdi_parameters
becameget_parameters
and the user specify if credible intervals or hpdi- Added ties to
expand_aggregated_data
. - We can get now both credible and HPD intervals in
get_parameters
. n_eff and Rhat are also now possible to add and remove from this df - Added functions to save and load bpc models
To get the latest version of the bpcs package, install it from Github:
remotes::install_github('davidissamattos/bpcs')