kfunc: Function to evaluate the matrix of data vector minus the grid...
In elghouch/cenROC: Estimation of the Time-Dependent ROC Curve and AUC for Censored Survival Data
Description
Usage
Arguments
Value
Description
Function to evaluate the matrix of data vector minus the grid points divided by the bandwidth value.
Usage
1
kfunc(ktype = "normal", difmat)
Arguments
ktype
A character string giving the type kernel to be used: "normal", "epanechnikov", "biweight", or "triweight". By default, the "normal" kernel is used.
difmat
A numeric matrix of sample data (X) minus evaluation points (x0) divided by bandwidth value (bw).
Value
Returns the matrix resulting from evaluating difmat.
elghouch/cenROC documentation built on April 2, 2020, 5:03 a.m.
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Description Usage Arguments Value
Description
Function to evaluate the matrix of data vector minus the grid points divided by the bandwidth value.
Usage
1 | kfunc(ktype = "normal", difmat)
|
Arguments
ktype |
A character string giving the type kernel to be used: " |
difmat |
A numeric matrix of sample data (X) minus evaluation points (x0) divided by bandwidth value (bw). |
Value
Returns the matrix resulting from evaluating difmat.
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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