av_out: Averaging out the predictive power

In CARRoT: Predicting Categorical and Continuous Outcomes Using One in Ten Rule

Averaging out the predictive power

Description

Function which averages out the predictive power over all cross-validations

Usage

av_out(preds,crv,k)

Arguments

preds	An M x crvN matrix consisting of crv horizontally concatenated M x N matrices. These M x N matrices are the matrices of predictive powers for all feasible regressions (M is maximum feasible number of variables included in a regression, N is the maximum feasible number of regressions of the fixed size; the row index indicates the number of variables included in a regression)
crv	number of cross-validations
k	size of the test set for which the predictions are made

Value

Returns an M x N matrix of average predictive powers where M is maximum feasible number of variables included in a regression, N is the maximum feasible number of regressions of the fixed size; the row index indicates the number of variables included in a regression

Examples

#creating a matrix of predictive powers

preds<-cbind(matrix(runif(40,1,4),ncol=10),matrix(runif(40,1.5,4),ncol=10))
preds<-cbind(preds,matrix(runif(40,1,3.5),ncol=10))

#running the function

av_out(preds,3,5)

CARRoT documentation built on Oct. 14, 2023, 1:06 a.m.