gaussian_process_cv: Internal Cpp function for performing leave-group-out cross...

Description Usage Arguments Value Author(s)

View source: R/RcppExports.R

Description

For internal use only!.

Usage

1
gaussian_process_cv(X, Y, mindices, pindices, noisev = 0.001, scale)

Arguments

X

a matrix of predictor variables.

Y

a matrix of a single response variable.

mindices

a matrix with n rows and m columns where m is equivalent to the number of resampling iterations. The elements of each column indicate the indices of the observations to be used for modeling at each iteration.

pindices

a matrix with k rows and m columns where m is equivalent to the number of resampling iterations. The elements of each column indicate the indices of the observations to be used for predicting at each iteration.

scale

a logical indicating whether both the predictors and the response variable must be scaled to zero mean and unit variance.

ncomp

an integer indicating the number of pls components.

Value

a list containing the following one-row matrices:

Author(s)

Leonardo Ramirez-Lopez


resemble documentation built on Nov. 9, 2020, 5:08 p.m.