R: Genomic Breeding Tools: Genetic Variance Prediction and Cross-Validation

# Genomic Breeding Tools: Genetic Variance Prediction and Cross-Validation

## Documentation for package ‘PopVar’ version 1.3.2

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

calc_marker_effects | Internal functions
cross.tab_ex | An example barley dataset
G.in_ex | An example barley dataset
G.in_ex_imputed | An example barley dataset
G.in_ex_mat | An example barley dataset
internal | Internal functions
maf_filt | Internal functions
map.in_ex | An example barley dataset
mppop.predict | Predict genetic variance and genetic correlations in multi-parent populations using a deterministic equation.
mppop_predict2 | Predict genetic variance and genetic correlations in multi-parent populations using a deterministic equation.
par_name | Internal functions
par_position | Internal functions
pop.predict | A genome-wide procedure for predicting genetic variance and correlated response in bi-parental breeding populations
pop.predict2 | Predict genetic variance and genetic correlations in bi-parental populations using a deterministic model
pop_predict2 | Predict genetic variance and genetic correlations in bi-parental populations using a deterministic model
tails | Internal functions
think_barley.rda | An example barley dataset
x.val | Estimate genome-wide prediction accuracy using cross-validation
XValidate_Ind | Internal functions
XValidate_nonInd | Internal functions
y.in_ex | An example barley dataset