phenoRegressor.dummy: Regression dummy function

In GROAN: Genomic Regression Workbench

Regression dummy function

Description

This function is for development purposes. It returns, as "predictions", an array of random numbers. It accept the standard inputs and produces a formally correct output. It is, obviously, quite fast.

Usage

phenoRegressor.dummy(phenotypes, genotypes, covariances, extraCovariates)

Arguments

phenotypes	phenotypes, numeric array (n x 1), missing values are predicted
genotypes	SNP genotypes, one row per phenotype (n), one column per marker (m), values in 0/1/2 for diploids or 0/1/2/...ploidy for polyploids. Can be NULL if covariances is present.
covariances	square matrix (n x n) of covariances. Can be NULL if genotypes is present.
extraCovariates	extra covariates set, one row per phenotype (n), one column per covariate (w). If NULL no extra covariates are considered.

Value

The function should return a list with the following fields:

• predictions : an array of (k) predicted phenotypes

• hyperparams : named array of hyperparameters selected during training

• extradata : any extra information

See Also

Other phenoRegressors: phenoRegressor.BGLR(), phenoRegressor.RFR(), phenoRegressor.SVR(), phenoRegressor.rrBLUP(), phenoregressor.BGLR.multikinships()

Examples

#genotypes are not really investigated. Only
#number of test phenotypes is used.
phenoRegressor.dummy(
  phenotypes = c(1:10, NA, NA, NA),
  genotypes = matrix(nrow = 13, ncol=30)
)

GROAN documentation built on Nov. 28, 2022, 5:07 p.m.