addRegressor |
Add an extra regressor to a Workbench |
are.compatible |
Check two GROAN.NoisyDataSet for dimension compatibility |
createNoisyDataset |
Noisy Data Set Constructor |
createRunId |
Generate a random run id |
createWorkbench |
Workbench constructor |
getNoisyPhenotype |
Generate an instance of noisy phenotypes |
GROAN.AI |
Example data for pea AI lines |
GROAN.KI |
Example data for pea KI lines |
GROAN.pea.kinship |
[DEPRECATED] |
GROAN.pea.SNPs |
[DEPRECATED] |
GROAN.pea.yield |
[DEPRECATED] |
GROAN.run |
Compare Genomic Regressors on a Noisy Dataset |
measurePredictionPerformance |
Measure Performance of a Prediction |
ndcg |
Function to calculate mean Normalized Discounted Cumulative Gain (NDCG) |
noiseInjector.dummy |
Noise Injector dummy function |
noiseInjector.norm |
Inject Normal Noise |
noiseInjector.swapper |
Swap phenotypes between samples |
noiseInjector.unif |
Inject Uniform Noise |
phenoRegressor.BGLR |
Regression using BGLR package |
phenoregressor.BGLR.multikinships |
Multi-matrix GBLUP using BGLR |
phenoRegressor.dummy |
Regression dummy function |
phenoRegressor.RFR |
Random Forest Regression using package randomForest |
phenoRegressor.rrBLUP |
SNP-BLUP or G-BLUP using rrBLUP package |
phenoRegressor.SVR |
Support Vector Regression using package e1071 |
plotResult |
Plot results of a run |
print.GROAN.NoisyDataset |
Print a GROAN Noisy Dataset object |
print.GROAN.Workbench |
Print a GROAN Workbench object |
summary.GROAN.NoisyDataset |
Summary for GROAN Noisy Dataset object |
summary.GROAN.Result |
Summary of GROAN.Result |