HallKernel: Compute Hall Kernel density estimate, given a training set...
In naveedmerchant/BayesScreening: Classical and Bayesian Screening for Binary Classification
View source: R/CVBFFunctions.R
HallKernel R Documentation
Compute Hall Kernel density estimate, given a training set and a set of values to evaluate on
Description
Compute Hall Kernel density estimate, given a training set and a set of values to evaluate on
Usage
HallKernel(h, datagen2, x)
Arguments
h
Bandwidth parameter
datagen2
Training set for Hall KDE
x
Value (or values) to evaluate KDE on. Can be a scalar, a matrix, or a vector.
Value
An object of the same dimension as x that evaluates a KDE trained on datagen2 on everyone of the points in x
naveedmerchant/BayesScreening documentation built on June 13, 2024, 7:56 a.m.
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View source: R/CVBFFunctions.R
| HallKernel | R Documentation |
Compute Hall Kernel density estimate, given a training set and a set of values to evaluate on
Description
Compute Hall Kernel density estimate, given a training set and a set of values to evaluate on
Usage
HallKernel(h, datagen2, x)
Arguments
h |
Bandwidth parameter |
datagen2 |
Training set for Hall KDE |
x |
Value (or values) to evaluate KDE on. Can be a scalar, a matrix, or a vector. |
Value
An object of the same dimension as x that evaluates a KDE trained on datagen2 on everyone of the points in x
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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