compute_max_length: Maximum number of the regressions

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

Maximum number of the regressions

Description

Function which computes the maximum number of regressions with fixed number of variables based on the rule of thumb

Usage

compute_max_length(vari_col,k,c,we,minx,maxx,st)

Arguments

vari_col	number of predictors
k	maximum weight of the predictors
c	array of all indices of the predictors
we	array of weights of the predictors. Continuous or categorical numerical variable with more then 5 categories has weight 1, otherwise it has weight n-1 where n is the number of categories
minx	minimum number of predictors, 1 by default
maxx	maximum number of predictors, total number of variables by default
st	a subset of predictors to be always included into a predictive model

Value

Integer correponding to maximum number of regressions of the same size

References

\insertRef

ref1CARRoT

\insertRef

ref2012-18631-001CARRoT

See Also

Function uses combn

Examples

compute_max_length(4,40,1:4,c(1,1,2,1))

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