Function used to set several parameters to control the selection of the optimal cut points in a logistic regression model
controlcatpredi(min.p.cat = 1, addfor.g = 100, B = 50,
b.method = c("ncoutcome", "coutcome"), print.gen = 0)Set the minimun number of individuals in each category
Grid size for the AddFor algorithm
Number of bootstrap replicates for the AUC bias correction procedure
Allows to specify whether the bootstrap resampling should be done considering or not the outcome variable. The option "ncoutcome" indicates that the data is resampled without taking into account the response variable, while "coutcome" indicates that the data is resampled in regard to the response variable
corresponds to the argument print.level of the genoud function of the package rgenoud.
A list with components for each of the possible arguments.
Mebane Jr, W. R., & Sekhon, J. S. (2011). Genetic optimization using derivatives: the rgenoud package for R. Journal of Statistical Software 4211, 1-26.
See Also as catpredi.