cv.pval: cv.pval
In SubgrpID: Patient Subgroup Identification for Clinical Drug Development
View source: R/cross_validation_functions.R
cv.pval R Documentation
cv.pval
Description
p-value calculation for each iteration of cross validation.
Usage
cv.pval(yvar, censorvar = NULL, trtvar = NULL, data, type = "s")
Arguments
yvar
response variable name.
censorvar
censor-variable name.
trtvar
treatment variable name. For prognostic case trtvar=NULL.
data
dataset containing response and predicted output.
type
data type - "c" - continuous , "b" - binary, "s" - time to event - default = "c".
Details
p-value calculation for each iteration of cross validation.
Value
p-value based on response and prediction vector for each iteration.
SubgrpID documentation built on May 29, 2024, 1:33 a.m.
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.
View source: R/cross_validation_functions.R
| cv.pval | R Documentation |
cv.pval
Description
p-value calculation for each iteration of cross validation.
Usage
cv.pval(yvar, censorvar = NULL, trtvar = NULL, data, type = "s")
Arguments
yvar |
response variable name. |
censorvar |
censor-variable name. |
trtvar |
treatment variable name. For prognostic case trtvar=NULL. |
data |
dataset containing response and predicted output. |
type |
data type - "c" - continuous , "b" - binary, "s" - time to event - default = "c". |
Details
p-value calculation for each iteration of cross validation.
Value
p-value based on response and prediction vector for each iteration.
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.