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 |