Genomic Regression Workbench
Add an extra regressor to a Workbench
Check two GROAN.NoisyDataSet for dimension compatibility
Create a set of artificial genotypes
Create a set of artificial phenotypes
Noisy Data Set Constructor
Generate a random run id
Workbench constructor
Dummy function for import management
String of extra covariates names
Generate an instance of noisy phenotypes
Compare Genomic Regressors on a Noisy Dataset
Is a boolean?
Is in the passed numeric range
Is a positive integer?
Is a single slot thing?
Is a string?
Measure Performance of a Prediction
Function to calculate mean Normalized Discounted Cumulative Gain (NDCG...
Noise Injector dummy function
Inject Normal Noise
Swap phenotypes between samples
Inject Uniform Noise
Multi-matrix GBLUP using BGLR
Regression using BGLR package
Regression dummy function
Random Forest Regression using package randomForest
G-BLUP using rrBLUP library
SNP-BLUP or G-BLUP using rrBLUP package
SNP-BLUP using rrBLUP library
Support Vector Regression using package e1071
Plot results of a run
Print a GROAN Noisy Dataset object
Print a GROAN Workbench object
Assignments for stratified crossvalidation
Summary for GROAN Noisy Dataset object
Summary of GROAN.Result
Workbench for testing genomic regression accuracy on (optionally noisy) phenotypes.