computeErrorLOOCV: LOOCV Error Rate

In SWS-Methodology/faoswsImputation: Package to perform ensemble imputation for various FAO domains

Description

This function computes the error of different model fits via leave-one-out cross-validation. However, typically this function will be called via computeErrorRate and not directly.

Usage

computeErrorLOOCV(data, model, cvGroup, imputationParameters)

Arguments

data	A data.table containing the data.
model	The model fit to x, should be of class ensembleModel.
cvGroup	A vector of the same length as nrow(data). Entries of the vector should be integers from 1 to the number of cross-validation groups (typically 10). This should be randomly assigned, and is usually created by ensembleImpute.
imputationParameters	A list of the parameters for the imputation algorithms. See defaultImputationParameters() for a starting point.

SWS-Methodology/faoswsImputation documentation built on May 9, 2019, 11:48 a.m.