kfunction: Kernel distribution function
In elghouch/cenROC: Estimation of the Time-Dependent ROC Curve and AUC for Censored Survival Data
Description
Usage
Arguments
Value
Description
Kernel distribution function
Usage
1
kfunction(ktype, X)
Arguments
ktype
A character string giving the type kernel to be used: "normal", "epanechnikov", "biweight", or "triweight".
X
A numeric vector of sample data.
Value
Returns a vector resulting from evaluating X.
elghouch/cenROC documentation built on April 2, 2020, 5:03 a.m.
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Description Usage Arguments Value
Description
Kernel distribution function
Usage
1 | kfunction(ktype, X)
|
Arguments
ktype |
A character string giving the type kernel to be used: " |
X |
A numeric vector of sample data. |
Value
Returns a vector resulting from evaluating X.
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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