### 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`

and`get_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`

and`get_rank_of_players_table`

- plots:
`get_hpdi_parameters`

became`get_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')
```