| coef.LASSO | LASSO methods |
| coef.SGP | SGP methods |
| cov2cor2 | Conversion of a covariance matrix to a distance/correlation matrix |
| cov2dist | Conversion of a covariance matrix to a distance/correlation matrix |
| fitBLUP | Fitting a Linear Mixed model to calculate BLUP |
| genCOV_xy | Wheat dataset |
| genCOV_yy | Wheat dataset |
| getGenCov | Pairwise Genetic Covariance |
| get_folds | Data partition into folds of the same size |
| LARS | Least Angle Regression to solve LASSO-type problems |
| M | Wheat dataset |
| multitrait.plot | Accuracy vs penalization from multi-trait SGP |
| net | Graphical Network |
| path.plot | Coefficients path plot |
| plot.net | Plotting a network |
| plot.SGP | Accuracy vs penalization plot |
| predict.LASSO | LASSO methods |
| predict.SGP | SGP methods |
| Prune | R-squared pruning |
| readBinary | Save/read binary files |
| read_SGP | Read and combine SGP outputs |
| read_summary | Read and combine SGP outputs |
| resCOV_yy | Wheat dataset |
| saveBinary | Save/read binary files |
| SGP | Sparse Genomic Prediction |
| SGP.CV | Sparse Genomic Prediction |
| solveEN | Coordinate Descent algorithm to solve Elastic-Net-type problems |
| summary.SGP | SGP methods |
| VI_E1 | Wheat dataset |
| wheatHTP | Wheat dataset |
| X_E1 | Wheat dataset |
| Y | Wheat dataset |