ParzenTest: Parzen model
In rudazhang/plmr: Probabilistic Learning on Manifolds in R
Description
Usage
Arguments
Value
Description
Parzen model
Usage
1
ParzenTest(y, X, sigma)
Arguments
y
density evaluation point.
X
matrix of training data.
sigma
Marginal standard deviation of an isotropic Gaussian added to each point.
Should be greater than zero.
Value
Parzen estimator at the evaluation point.
rudazhang/plmr documentation built on Aug. 30, 2021, 5:43 p.m.
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Description Usage Arguments Value
Description
Parzen model
Usage
1 | ParzenTest(y, X, sigma)
|
Arguments
y |
density evaluation point. |
X |
matrix of training data. |
sigma |
Marginal standard deviation of an isotropic Gaussian added to each point. Should be greater than zero. |
Value
Parzen estimator at the evaluation point.
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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