MTME: Multi-trait Multi-Environment

In frahik/GFR: GFR (Genomic Functional Regression)

Description

Multi-trait Multi-Environment

Usage

MTME(data = NULL, ETA = NULL, nIter = 2500, burnIn = 500, thin = 5,
  progressBar = TRUE, CrossValidation = NULL, set_seed = NULL,
  digits = 4, ...)

Arguments

data	data
ETA	eta
nIter	number of iterations
burnIn	number of burning
thin	number of thinning
CrossValidation	cv object
set_seed	seed for a reproducible research
digits	number of digits of accuracy in the results
...	for BFR function

Value

Something cool

Examples

ETA=list(Env=list(X=Z.E,model="BRR"),Gen = list(X = Z.G, model = 'BRR'), EnvGen=list(X=Z.EG,model="BRR"))
CrossValidation <- BMTME::CV.RandomPart(pheno, NPartitions = 10, PTesting = 0.2, set_seed = 123)

frahik/GFR documentation built on May 25, 2019, 5:22 p.m.