BAYesian inference for MEDical designs in R. Functions for the
computation of Bayes factors for common biomedical research designs.
Implemented are functions to test the equivalence (equiv_bf),
non-inferiority (infer_bf), and superiority (super_bf) of an experimental
group compared to a control group on a continuous outcome measure. Bayes
factors for these three tests can be computed based on raw data (x, y) or
summary statistics (n_x, n_y, mean_x, mean_y, sd_x, sd_y [or ci_margin
and ci_level]).

Bayesian analysis of multivariate binary data
This package fits multivariate binary data
using Bayesian approach

Bayesian fitting of Ornstein-Uhlenbeck models to phylogenies
Josef C. Uyeda, Jon Eastman and Luke Harmon
Tools for fitting and simulating multi-optima Ornstein-Uhlenbeck
models to phylogenetic comparative data using Bayesian reversible-jump
methods.
Rcpp (>= 0.10.3), MASS, mnormt, fitdistrplus, denstrip
'RcppExports.R' 'bayou-utilities.R' 'probability.R'
'bayou-weight_matrix.R' 'bayou-moves.R' 'bayou-likelihood.R'
'bayou-prior.R' 'conversion-utilities.R'
'bayou-mcmc-utilities.R' 'bayou-mcmc.R' 'bayou-plotting.R'
'bayou-simulation.r' 'bayou-steppingstone.R' 'bayou-package.R'

Bayesian Fitting of Ornstein-Uhlenbeck Models to Phylogenies
Rcpp (>= 0.10.3), MASS, mnormt, fitdistrplus, denstrip,
foreach, stats, grDevices, graphics

Rcpp (>= 0.10.3), MASS, mnormt, fitdistrplus, denstrip,
assertthat, foreach, Matrix, graphics, grDevices, stats

Bayesian Stability Analysis of Genotype by Environment
Interaction (GEI)
c(
person(c("Muhammad", "Yaseen"),  email = "myaseen208@gmail.com", role = c("aut", "cre"))
, person(c("Diego", "Jarquin"),  email = "diego.jarquin@gmail.com", role = c("aut", "ctb"))
, person(c("Sergio", "Perez-Elizalde"),  email = "sergiop@colpos.mx", role = c("aut", "ctb"))
, person(c("Juan", "Burgueño"),  email = "j.crossa@cgiar.org", role = c("aut", "ctb"))
, person(c("Jose", "Crossa"),  email = "j.crossa@cgiar.org", role = c("aut", "ctb"))
)
Performs general Bayesian estimation method of linear–bilinear models for genotype × environment interaction. The method is explained in Perez-Elizalde, S., Jarquin, D., and Crossa, J. (2011) (<doi:10.1007/s13253-011-0063-9>).
dplyr, ggplot2, ggfortify, lme4, magrittr, MASS, matrixStats,
reshape2, rstiefel, rlang, scales, stats, tibble, tidyr,
tidyverse
Muhammad Yaseen [aut, cre],
Diego Jarquin [aut, ctb],
Sergio Perez-Elizalde [aut, ctb],
Juan Burgueño [aut, ctb],
Jose Crossa [aut, ctb]