Computation of Bayes factors for common designs
pbapply, mvtnorm, stringr, methods, utils, graphics, tools

The BayesFactor package is a suite of functions for computing various Bayes factors for simple designs, including the one- and two-sample designs, one-way designs, general ANOVA designs, and linear regression.
pbapply, mvtnorm, stringr, methods, utils, graphics

doMC, testthat, knitr, markdown, arm, lme4, xtable, languageR

pbapply, mvtnorm, stringr, utils, graphics

Richard D. Morey, Jeffrey N. Rouder, Tahira Jamil
The BayesFactor package is a suite of functions for computing various Bayes factors for simple designs, including contingency tables, one- and two-sample designs, one-way designs, general ANOVA designs, and linear regression.

The BayesFactor package is a suite of functions for computing
various Bayes factors for simple designs, including contingency tables,
one- and two-sample designs, one-way designs, general ANOVA designs, and
linear regression.

Bayesian Analysis of Generalized Elliptical Semiparametric
Models
Luz Marina Rondon <lumarp@gmail.com> and Heleno Bolfarine
This package allows obtain the statistical inference based on Bayesian approach for regression models under the assumption that independent additive errors follow normal, Student-t, slash, contaminated normal, Laplace or symmetric hyperbolic distribution, where both location and dispersion parameters of the response variable distribution include nonparametric additive components described by B-splines.
splines, truncdist, GIGrvg, normalp, gsl

Bayesian Analysis of Generalized Elliptical Semi-parametric
Models
This package allows obtain the statistical inference based on Bayesian approach for regression models under the assumption that independent additive errors follow normal, Student-t, slash, contaminated normal, Laplace or symmetric hyperbolic distribution, where both location and dispersion parameters of the response variable distribution include non-parametric additive components described by B-splines using the function BayesGESM and it also allows to obtain the statistical inference based on Bayesian approach for flexible measurement error models using the function fmem.
splines, truncdist, GIGrvg, normalp, Formula