sum_weights_sub {CARRoT}R Documentation

Cumulative weights of the predictors' subsets

Description

Function which computes the sum of predictors' weights for each subset containing a fixed number of predictors

Usage

sum_weights_sub(a,m,we,st)

Arguments

a

an m x N matrix, containing all possible subsets (N overall) of the size m of predictors' indices; therefore each column of a defines a unique subset of the predictors

m

number of elements in each subset of indices

we

array of weights of the predictors

st

a subset of predictors to be always included into a predictive model

Value

Returns an array of weights for predictors defined by each colun of the matrix a

Examples

#all two-element subsets of the set 1:3

a<-combn(3,2)

sum_weights_sub(a,2,c(1,2,1))

[Package CARRoT version 2.5.2 Index]