kfoldcv: Subsamples for k-fold Cross-Validation
In ipred: Improved Predictors
kfoldcv R Documentation
Subsamples for k-fold Cross-Validation
Description
Computes feasible sample sizes for the k groups in k-fold cv if N/k is not
an integer.
Usage
kfoldcv(k, N, nlevel=NULL)
Arguments
k
number of groups.
N
total sample size.
nlevel
a vector of sample sizes for stratified sampling.
Details
If N/k is not an integer, k-fold cv is not unique. Determine meaningful
sample sizes.
Value
A vector of length k.
Examples
# 10-fold CV with N = 91
kfoldcv(10, 91)
ipred documentation built on Sept. 11, 2024, 7:46 p.m.
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| kfoldcv | R Documentation |
Subsamples for k-fold Cross-Validation
Description
Computes feasible sample sizes for the k groups in k-fold cv if N/k is not an integer.
Usage
kfoldcv(k, N, nlevel=NULL)
Arguments
k |
number of groups. |
N |
total sample size. |
nlevel |
a vector of sample sizes for stratified sampling. |
Details
If N/k is not an integer, k-fold cv is not unique. Determine meaningful sample sizes.
Value
A vector of length k.
Examples
# 10-fold CV with N = 91
kfoldcv(10, 91)
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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