Bayesian Multi-Trait Multi-Environment for Genomic Selection
Analysis
c(person("Francisco Javier", "Luna-Vazquez", email = "frahik@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-5370-7152")),
person("Fernando H.", "Toledo", role = "aut"),
person("Osval Antonio", "Montesinos-Lopez", email= "oamontes1@ucol.mx", role = "aut", comment = c(ORCID = "0000-0002-3973-6547")),
person("Abelardo", "Montesinos-Lopez", role = "aut"),
person("Jose", "Crossa", role = "aut", comment = c(ORCID = "0000-0001-9429-5855")))
Genomic selection and prediction models with the capacity to use multiple traits and environments, through ready-to-use Bayesian models. It consists a group of functions
that help to create regression models for some genomic models proposed by Montesinos-López, et al. (2016) <doi:10.1534/g3.116.032359>
also in Montesinos-López et al. (2018) <doi:10.1534/g3.118.200728> and Montesinos-López et al. (2018) <doi:10.2134/agronj2018.06.0362>.
BME.R BMTME.R BMTME_Package.R BMORS.R BMORSEnv.R cholesky.R
datasets.R detectCore.R RandomPartition.R RcppExports.R utils.R
BGLR, doSNOW, dplyr, foreach, matrixcalc, mvtnorm, progress,
snow, tidyr
Francisco Javier Luna-Vazquez [aut, cre]
(<https://orcid.org/0000-0002-5370-7152>),
Fernando H. Toledo [aut],
Osval Antonio Montesinos-Lopez [aut]
(<https://orcid.org/0000-0002-3973-6547>),
Abelardo Montesinos-Lopez [aut],
Jose Crossa [aut] (<https://orcid.org/0000-0001-9429-5855>)

BGLR, doSNOW, dplyr, foreach, matrixcalc, mvtnorm, progress,
snow, tidyr, Rcpp

Hybrid Trait Evolution under Brownian Motion
Dwueng-Chwuan Jhwueng <djhwueng@umail.iu.edu> and Brian O'Meara
<omeara.brian@gmail.com>
corpcor, numDeriv, geiger, ape, TreeSim, phytools, phylobase,
mvtnorm, grDevices, graphics, methods, stats, lhs, viridis,
Matrix, DEoptim
Analyzes the phenotypic evolution of species
of hybrid origin on a phylogenetic network. This package can detect the hybrid
vigor effect, a burst of variation at formation, and the relative portion of
heritability from its parents. Parameters are estimated by maximum likelihood.
Users need to enter a comparative data set, a phylogeny, and information on gene
flow leading to hybrids. See Jhwueng and O'Meara (2017)
<DOI:10.1101/023986>.