loo.cv.cox: Leave one out cross validation for cox regression
In ProfessionalFarmer/loonR: Common function in bioinformatics analysis
loo.cv.cox R Documentation
Leave one out cross validation for cox regression
Description
Leave one out cross validation for cox regression
Usage
loo.cv.cox(df, status, time, seed = 999, label = NA, scale = TRUE)
Arguments
df
Row is sample, column is gene/minRA/variat
seed
Default 999
label
Default NA. Recommend to provide such information
scale
TRUE
ProfessionalFarmer/loonR documentation built on Oct. 9, 2024, 9:56 p.m.
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| loo.cv.cox | R Documentation |
Leave one out cross validation for cox regression
Description
Leave one out cross validation for cox regression
Usage
loo.cv.cox(df, status, time, seed = 999, label = NA, scale = TRUE)
Arguments
df |
Row is sample, column is gene/minRA/variat |
seed |
Default 999 |
label |
Default NA. Recommend to provide such information |
scale |
TRUE |
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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