| phenoRegressor.dummy {GROAN} | R Documentation |
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 |
square matrix (n x n) of covariances. Can be NULL if |
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)
)