CutPointCV: Helper function for parallel processing to compute prediction...
In sagade/STEPPup:
Usage
1
CutPointCV(c, response, var, treat, covars, data, K, repeats, seed)
Arguments
c
cutpoint for variable
response
the response, see
link{OptimalCutPoint}
\itemvarthe variable, see link{OptimalCutPoint}
\itemtreattreatment, see link{OptimalCutPoint}
\itemcovarscovariates, see
link{OptimalCutPoint}
\itemdatasee link{OptimalCutPoint}
\itemKsee link{OptimalCutPoint}
\itemrepeatssee link{OptimalCutPoint}
\itemseedsee link{OptimalCutPoint}
Helper function for parallel processing to compute
prediction error measure for different cuts of the variable
sagade/STEPPup documentation built on Dec. 31, 2020, 3:15 a.m.
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Usage
1 | CutPointCV(c, response, var, treat, covars, data, K, repeats, seed)
|
Arguments
c |
cutpoint for variable |
response |
the response, see
varthe variable, see treattreatment, see covarscovariates, see
datasee Ksee repeatssee seedsee |
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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