Genomic Breeding Tools: Genetic Variance Prediction and Cross-Validation

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Documentation for package ‘PopVar’ version 1.3.1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

PopVar-package	Genomic breeding tools to 1) predict standard statistics and correlated response in plant populations, and 2) performs cross-validation to estimate genome-wide prediction accuracy
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
PopVar	Genomic breeding tools to 1) predict standard statistics and correlated response in plant populations, and 2) performs cross-validation to estimate genome-wide prediction accuracy
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