Imports: pbapply, mvtnorm, stringr, utils, graphics, MatrixModels, Rcpp

Title: Computation of Bayes factors for common designs
Depends: R (< 3.0.0), coda, knitr, markdown
Imports: pbapply, mvtnorm, stringr, methods, utils, graphics, tools

Depends: R (>= 3.0.0), coda, knitr, markdown

Description: 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.
Imports: pbapply, mvtnorm, stringr, methods, utils, graphics
Suggests: doMC, testthat, knitr, markdown

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

Imports: pbapply, mvtnorm, stringr, utils, graphics

Author: Richard D. Morey, Jeffrey N. Rouder, Tahira Jamil
Description: 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.

Description: The BayesFactor package is a suite of functions for computing

Title: Bayesian Analysis of Generalized Elliptical Semiparametric
Author: Luz Marina Rondon <lumarp@gmail.com> and Heleno Bolfarine
Maintainer: Luz Marina Rondon <lumarp@gmail.com>
Description: 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.
Depends: splines, truncdist, GIGrvg, normalp, gsl

Title: Bayesian Analysis of Generalized Elliptical Semi-parametric
Description: 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.
Depends: splines, truncdist, GIGrvg, normalp, Formula