c(
person("Gonzalo", "Garcia-Donato",    email = "garcia_gon@gva.es",    role = c("aut")),
person("Anabel", "Forte",             email = "anabel.forte@uv.es",   role = c("aut", "cre")),
person("Carlos", "Vergara-Hernández", email = "carlos.vergara@uv.es", role = c("ctb"))
)
Gonzalo Garcia-Donato [aut],
Anabel Forte [aut, cre],
Carlos Vergara-Hernández [ctb]

Conceived to calculate Bayes factors in Linear models and then to provide a formal Bayesian answer to testing and variable selection problems. From a theoretical side, the emphasis in this package is placed on the prior distributions and it allows a wide range of them: Jeffreys (1961); Zellner and Siow(1980)<DOI:10.1007/bf02888369>; Zellner and Siow(1984); Zellner (1986)<DOI:10.2307/2233941>; Fernandez et al. (2001)<DOI:10.1016/s0304-4076(00)00076-2>; Liang et al. (2008)<DOI:10.1198/016214507000001337>  and Bayarri et al. (2012)<DOI:10.1214/12-aos1013>. The interaction with the package is through a friendly interface that syntactically mimics the well-known lm() command of R. The resulting objects can be easily explored providing the user very valuable information (like marginal, joint and conditional inclusion probabilities of potential variables; the highest posterior probability model, HPM; the median probability model, MPM) about the structure of the true -data generating- model. Additionally, this package incorporates abilities to handle problems with a large number of potential explanatory variables through parallel and heuristic versions of the main commands, Garcia-Donato and Martinez-Beneito (2013)<DOI:10.1080/01621459.2012.742443>. It also allows problems with p>n and p>>n and also incorporates routines to handle problems with variable selection with factors.
since version 1.9.0 BayesVarSel uses the non-exported
function get_rdX from package lmerTest (distributed under
GPL-2, GPL-3) and authored by Alexandra Kuznetsova, Per Bruun
Brockhoff and Rune Haubo Bojesen Christensen.

R Utilities Accompanying the Software Package BayesX
Thomas Kneib, Felix Heinzl, Andreas Brezger, Daniel Sabanes
Bove
This package provides functionality for exploring and
visualising estimation results obtained with the software
package BayesX for structured additive regression. It also
provides functions that allow to read, write and manipulate map
objects that are required in spatial analyses performed with
BayesX, a free software for estimating structured additive
regression models (http://www.stat.uni-muenchen.de/~bayesx).