R: Benchmarking Genomic Selection and Machine-Learning Prediction Models

# Benchmarking Genomic Selection and Machine-Learning Prediction Models

## Documentation for package ‘GSbench’ version 0.1.0

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

## Help Pages

available_models | Models available in this session
gblup | Fit GBLUP by REML
Gmatrix | Genomic relationship matrix (VanRaden)
gs_benchmark | Benchmark all available genomic prediction models
gs_cv | Cross-validate genomic prediction models
gs_ensemble | Stacked super-learner ensemble of genomic prediction models
gs_fit | Fit a genomic prediction model
impute_markers | Impute missing marker genotypes
plot.gs_cv | Plot a model comparison
predict.gblup | Predict breeding values for new genotypes from a GBLUP fit
predict.gs_ensemble | Predict from a fitted genomic prediction model
predict.gs_model | Predict from a fitted genomic prediction model
qc_markers | Quality-control filter for marker data
simulate_population | Simulate a genomic prediction dataset
summary.gs_cv | Summary of a cross-validation / benchmark