MLM_cv: Cross validation (fold-5) function for high dimension data.
In RobMixReg: Robust Mixture Regression
Description
Usage
Arguments
Value
Description
Cross validation (fold-5) function for high dimension data.
Usage
1
Arguments
x
x variable.
y
y variable.
nit
Iteration number.
nc
The number of component.
max_iter
Maximum iteration.
Value
The correlation between y and y_hat based on five fold cross validation.
RobMixReg documentation built on Aug. 5, 2020, 5:08 p.m.
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Description Usage Arguments Value
Description
Cross validation (fold-5) function for high dimension data.
Usage
1 |
Arguments
x |
x variable. |
y |
y variable. |
nit |
Iteration number. |
nc |
The number of component. |
max_iter |
Maximum iteration. |
Value
The correlation between y and y_hat based on five 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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