compute_max_length {CARRoT}

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

Peduzzi P, Concato J, Kemper E, Holford TR, Feinstein AR (1996). “A simulation study of the number of events per variable in logistic regression analysis.” Journal of Clinical Epidemiology, 49(12), 1373-1379. ISSN 0895-4356, doi:10.1016/S0895-4356(96)00236-3, http://dx.doi.org/10.1016/S0895-4356(96)00236-3.

Rhemtulla M, Brosseau-Liard PÉ, Savalei V (2012). “When can categorical variables be treated as continuous?: A comparison of robust continuous and categorical SEM estimation methods under suboptimal conditions.” Psychological Methods, 17(3), 354-373. doi:10.1037/a0029315.

See Also

Function uses combn

Examples

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