cv.inform: Cross validation for informative censoring univariate...
In GJRM: Generalised Joint Regression Modelling
cv.inform R Documentation
Cross validation for informative censoring univariate survival models
Description
cv.inform carries out cross validation to help choosing the set of informative covariates.
Usage
cv.inform(x, K = 5, data, informative = "yes")
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
GJRM-package, gamlss
GJRM documentation built on July 9, 2023, 7:15 p.m.
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| cv.inform | R Documentation |
Cross validation for informative censoring univariate survival models
Description
cv.inform carries out cross validation to help choosing the set of informative covariates.
Usage
cv.inform(x, K = 5, data, informative = "yes")
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
GJRM-package, gamlss
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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