stars_cv: Calculates STARS cross-validation.
In brielin/inspre: INverse SParse REgression
stars_cv R Documentation
Calculates STARS cross-validation.
Description
Calculates STARS cross-validation.
Usage
stars_cv(X, method, train_prop = 0.8, cv_folds = 10)
Arguments
X
N x D data matrix.
method
Function that returns a list with two elements. "theta", a
D x D x nlambda matrix and "lambda" a list of lambda values used.
train_prop
Float, proportion of rows of X to use at each iteration.
cv_folds
Integer, number of cross-validation folds.
brielin/inspre documentation built on April 12, 2025, 11:52 p.m.
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| stars_cv | R Documentation |
Calculates STARS cross-validation.
Description
Calculates STARS cross-validation.
Usage
stars_cv(X, method, train_prop = 0.8, cv_folds = 10)
Arguments
X |
N x D data matrix. |
method |
Function that returns a list with two elements. "theta", a D x D x nlambda matrix and "lambda" a list of lambda values used. |
train_prop |
Float, proportion of rows of X to use at each iteration. |
cv_folds |
Integer, number of cross-validation folds. |
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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