Title: Bayesian Framework for Computational Modeling

the present package aims to provide a framework for conducting Bayesian
The initial version includes several modules for conducting Bayesian

Description: Derived from the work of Kruschke (2015,
<ISBN:9780124058880>), the present package aims to provide a framework
for conducting Bayesian analysis using Markov chain Monte Carlo (MCMC)
sampling utilizing the Just Another Gibbs Sampler ('JAGS', Plummer,
2003, <https://mcmc-jags.sourceforge.io>).  The initial version
includes several modules for conducting Bayesian equivalents of
chi-squared tests, analysis of variance (ANOVA), multiple
(hierarchical) regression, softmax regression, and for fitting data
dplyr (>= 0.7.7), ggplot2 (>= 2.2.1), graphics, grDevices,

Author: Raffaella Calabrese <raffaella.calabrese1@unimib.it>, Giampiero
Marra <giampiero.marra@ucl.ac.uk> and Silvia Anlgela Osmetti
Title: Binary Generalized Extreme Value Additive Models
Description: Routine for fitting regression models for binary rare
events with linear and nonlinear covariate effects when using
the quantile function of the Generalized Extreme Value random
Depends: R (>= 2.15.0), magic, mgcv, trust
Packaged: 2013-04-29 08:30:31 UTC; giampiero

Author: Giampiero Marra, Raffaella Calabrese and Silvia Angela Osmetti
Packaged: 2013-07-05 14:23:44 UTC; giampiero

Description: Routine for fitting regression models for binary rare events with linear and nonlinear covariate effects when using the quantile function of the Generalized Extreme Value random variable.
Packaged: 2017-05-18 19:03:43 UTC; Giampiero

Packaged: 2015-01-15 13:19:18 UTC; giampiero

Title: BoardGameGeek's Board Game Data Analysis Tools
Description: Tools for analysing board game data. Mainly focused on providing
an interface for BoardGameGeek's XML API2 through R6 class system objects.
More details about the BoardGameGeek's API can be obtained here
Imports: assertthat, pryr, rvest, stringr, utils, xml2

Imports: checkmate, pryr, stringr, utils, xml2

Title: Bayesian Estimation of Generalized Graded Unfolding Model
Description: Provides a Metropolis-coupled Markov chain Monte Carlo sampler,
post-processing and parameter estimation functions, and plotting utilities
for the generalized graded unfolding model of Roberts, Donoghue, and
Imports: stats, graphics, Rcpp (>= 0.12.14)
Suggests: devtools, testthat, covr, knitr, rmarkdown, dplyr, tidyr
Author: JBrandon Duck-Mayr [aut, cre] (<https://orcid.org/0000-0002-2231-1294>),