sum_weights_sub: Cumulative weights of the predictors' subsets

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

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))

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