controlcatpredi {CatPredi} | R Documentation |
Control function
Description
Function used to set several parameters to control the selection of the optimal cut points in a logistic regression model
Usage
controlcatpredi(min.p.cat = 1, addfor.g = 100, B = 50,
b.method = c("ncoutcome", "coutcome"), print.gen = 0)
Arguments
min.p.cat |
Set the minimun number of individuals in each category |
addfor.g |
Grid size for the AddFor algorithm |
B |
Number of bootstrap replicates for the AUC bias correction procedure |
b.method |
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 |
print.gen |
corresponds to the argument print.level of the |
Value
A list with components for each of the possible arguments.
Author(s)
Irantzu Barrio, Maria Xose Rodriguez-Alvarez and Inmaculada Arostegui
References
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
See Also as catpredi
.