LOOCVParzenANLL: Leave-one-out cross validation.
In rudazhang/plmr: Probabilistic Learning on Manifolds in R
Description
Usage
Arguments
Value
Description
Leave-one-out cross validation.
Usage
1
LOOCVParzenANLL(X, sigma)
Arguments
X
Data matrix, N-by-n.
sigma
Marginal standard deviation of an isotropic Gaussian added to each point.
Should be greater than zero.
Value
Average negative log likelihood by Leave-one-out cross validation,
given the Parzen model bandwidth.
rudazhang/plmr documentation built on Aug. 30, 2021, 5:43 p.m.
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Description Usage Arguments Value
Description
Leave-one-out cross validation.
Usage
1 | LOOCVParzenANLL(X, sigma)
|
Arguments
X |
Data matrix, N-by-n. |
sigma |
Marginal standard deviation of an isotropic Gaussian added to each point. Should be greater than zero. |
Value
Average negative log likelihood by Leave-one-out cross validation, given the Parzen model bandwidth.
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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