kfold_cv_lm_seq: K-fold cross-validation for lm - sequential version
In LGhilotti/CLLPackage: This package implements descend gradient and steepest descend methods for estimating linear model coefficients
kfold_cv_lm_seq R Documentation
K-fold cross-validation for lm - sequential version
Description
K-fold cross-validation for lm - sequential version
Usage
kfold_cv_lm_seq(X, y, k = 5)
Arguments
X
[numeric] Design matrix
y
[numeric] Observed response vector
k
[numeric] Number of folds
Value
[numeric] MSE provided by lm() R function through k-fold Cross-Validation
LGhilotti/CLLPackage documentation built on April 23, 2022, 3:48 a.m.
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| kfold_cv_lm_seq | R Documentation |
K-fold cross-validation for lm - sequential version
Description
K-fold cross-validation for lm - sequential version
Usage
kfold_cv_lm_seq(X, y, k = 5)
Arguments
X |
[numeric] Design matrix |
y |
[numeric] Observed response vector |
k |
[numeric] Number of folds |
Value
[numeric] MSE provided by lm() R function through k-fold Cross-Validation
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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