cv.inform: Cross validation for informative censoring univariate...
In KironmoyDas/KD-STAT0035-GMupdate: Generalised Joint Regression Modelling
Description
Usage
Arguments
Details
Value
Author(s)
See Also
Description
cv.inform carries out cross validation to help choosing the set of informative covariates.
Usage
1
Arguments
x
A fitted gamlss object as produced by the respective fitting function.
K
No. of folds.
data
Data.
informative
If no then cv is carried out for the case of no informative censoring. This is useful for comparison purposes.
Details
cv.inform carries out cross validation to help choosing the set of informative covariates.
Value
sl
Overall sum of predicted likelihood contributions.
Author(s)
Maintainer: Giampiero Marra giampiero.marra@ucl.ac.uk
See Also
KironmoyDas/KD-STAT0035-GMupdate documentation built on Feb. 15, 2021, 12:17 a.m.
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Description Usage Arguments Details Value Author(s) See Also
Description
cv.inform carries out cross validation to help choosing the set of informative covariates.
Usage
1 |
Arguments
x |
A fitted |
K |
No. of folds. |
data |
Data. |
informative |
If no then cv is carried out for the case of no informative censoring. This is useful for comparison purposes. |
Details
cv.inform carries out cross validation to help choosing the set of informative covariates.
Value
sl |
Overall sum of predicted likelihood contributions. |
Author(s)
Maintainer: Giampiero Marra giampiero.marra@ucl.ac.uk
See Also
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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