MI_cv_naive {psfmi} | R Documentation |
Naive method for Cross-validation in Multiply Imputed datasets
Description
MI_cv_naive
Cross-validation by applying multiply imputed pooled models in train
and test folds. Called by function psfmi_perform
.
Usage
MI_cv_naive(pobj, folds = 3, p.crit = 1, BW = FALSE, cv_naive_appt = TRUE)
Arguments
pobj |
An object of class |
folds |
The number of folds, default is 3. |
p.crit |
A numerical scalar. P-value selection criterium used for backward during cross-validation. When set at 1, pooling and internal validation is done without backward selection. |
BW |
If TRUE backward selection is conducted within cross-validation. Default is FALSE. |
cv_naive_appt |
Default is TRUE for showing the cross-validation apparent (train) and test results. Set to FALSE to only give test results. |
Author(s)
Martijn Heymans, 2020
See Also
[Package psfmi version 1.4.0 Index]