cve_LinearPred: Cross-validation for cox regression using the linear...
In doMIsaul: Do Multiple Imputation-Based Semi-Supervised and Unsupervised Learning
Description
Usage
Arguments
Value
View source: R/CVE3_LinearPred.R
Description
Cross-validation for cox regression using the linear predictor estimator
Usage
1
cve_LinearPred(data, partition, nfolds = 10)
Arguments
data
data containing columns time and status.
partition
dataframe with 1 column containing the partition labels.
nfolds
number of fold for CV.
Value
numeric, cross-validation error
doMIsaul documentation built on Oct. 19, 2021, 1:07 a.m.
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Description Usage Arguments Value
View source: R/CVE3_LinearPred.R
Description
Cross-validation for cox regression using the linear predictor estimator
Usage
1 | cve_LinearPred(data, partition, nfolds = 10)
|
Arguments
data |
data containing columns time and status. |
partition |
dataframe with 1 column containing the partition labels. |
nfolds |
number of fold for CV. |
Value
numeric, cross-validation error
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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