NEWS.md
In bpcs: Bayesian Paired Comparison Analysis with Stan

bpcs 1.0.0

Package is feature complete and reached version 1.0.0
Test coverage > 80%
Bayesian computation of different variations of the Bradley-Terry and the Davidson model to handle ties in the contest (including with home advantage, random effects and the generalized model).
Input accepts a column with the results of the contest or the scores for each player.
Customize a normal prior distribution for every parameter.
Compute HDP interval for every parameter with the get_hpdi_parameters function
Compute rank of the players with the get_rank_of_players function.
Compute all the probability combinations for one player beating the other with the get_probabilities function.
Convert aggregated tables of results into long format (one contest per row) with the expand_aggregated_data.
Obtain the posterior distribution for every parameter of the model with the get_sample_posterior function.
Easy predictions using the predict function.
We do not reinforce any table or plotting library! Results are returned as data frames for easier plotting and creating tables
We reinforce the need to manually specify the model to be used.
Full documentation available at the package site
Dependence on Stan >= 2.20 for faster compilation times
Removing vignettes from building with the package. Now they are available only in the package website