Function used to set several parameters to control the selection of the optimal cut points in a Cox proportional hazards regression model
controlcatpredi.survival(min.p.cat = 5, 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.survival.