bpcs: Bayesian Paired Comparison Analysis with Stan

Models for the analysis of paired comparison data using Stan. The models include Bayesian versions of the Bradley-Terry model, including random effects (1 level), generalized model for predictors, order effect (home advantage) and the variations for the Davidson (1970) model to handle ties. Additionally, we provide a number of functions to facilitate inference and obtaining results with these models. References: Bradley and Terry (1952) <doi:10.2307/2334029>; Davidson (1970) <doi:10.1080/01621459.1970.10481082>; Carpenter et al. (2017) <doi:10.18637/jss.v076.i01>.

Version:	1.0.0
Depends:	R (≥ 4.0.0)
Imports:	coda, dplyr, tidyr, stringr, ggplot2, gtools, methods, Rcpp (≥ 0.12.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.20.0), rstantools (≥ 2.1.0), tibble, tidyselect, HDInterval, shinystan, loo, magrittr, badger, stats, rlang, knitr
LinkingTo:	BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen (≥ 0.3.3.3.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.20.0), StanHeaders (≥ 2.20.0)
Suggests:	rmarkdown, testthat, covr, bayesplot, kableExtra
Published:	2020-12-09
Author:	David Issa Mattos [aut, cre], Erika Martins Silva Ramos [aut]
Maintainer:	David Issa Mattos <issamattos.david at gmail.com>
BugReports:	https://github.com/davidissamattos/bpcs/issues
License:	MIT + file LICENSE
URL:	https://github.com/davidissamattos/bpcs, https://davidissamattos.github.io/bpcs/
NeedsCompilation:	yes
SystemRequirements:	GNU make
Citation:	bpcs citation info
Materials:	README NEWS
CRAN checks:	bpcs results

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