R: Genomic Regression Workbench

# Genomic Regression Workbench

## Documentation for package ‘GROAN’ version 1.3.1

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

## Help Pages

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