| 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 |