CV_mlm: Computation of LOOCV and AICc for mlm objects
In bocinsky/paleocar: Paleoclimate Reconstruction from Tree Rings using Correlation Adjusted corRelation
CV_mlm R Documentation
Computation of LOOCV and AICc for mlm objects
Description
Extends the CV method from the forecast package to handle
multi-predictand linear models (objects of class mlm). Specifically, it calculates
the leave-one-out cross validataion statistic (also known as the PRESS statistic) and
the corrected Akaike's Information Criterion.
Usage
CV_mlm(obj)
Arguments
obj
An object of class mlm or lm.
Value
A matrix of of CV and AICc values for each model.
bocinsky/paleocar documentation built on June 2, 2024, 4:12 a.m.
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| CV_mlm | R Documentation |
Computation of LOOCV and AICc for mlm objects
Description
Extends the CV method from the forecast package to handle multi-predictand linear models (objects of class mlm). Specifically, it calculates the leave-one-out cross validataion statistic (also known as the PRESS statistic) and the corrected Akaike's Information Criterion.
Usage
CV_mlm(obj)
Arguments
obj |
An object of class mlm or lm. |
Value
A matrix of of CV and AICc values for each model.
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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