defineOrEstimateDistribution: defineOrEstimateDistribution

In PDEnaiveBayes: Plausible Naive Bayes Classifier Using PDE

defineOrEstimateDistribution

Description

The function estimates the distribution of values within a features that belong to a specific class, i.e., the conditional probability of the likelihood

Usage

defineOrEstimateDistribution(Feature,ClassInd,Gaussian=FALSE,ParetoRadius=NULL,
InternalPlotIt=FALSE,SD_Threshold=0.001,...)

Arguments

Feature	[1:n] Numeric Vector
ClassInd	Integer Vector with class indices
Gaussian	(Optional: Default=TRUE). Assume gaussian distribution.
ParetoRadius	Optional [1:d] numerical vector for pareto radii computed priorly, see ParetoRadius
InternalPlotIt	Optional: Default=FALSE). Create plot if set to TRUE.
SD_Threshold	Optional: Default=0.001.
...	Robust: Optional: Default=FALSE, TRUE: robust estimation of mean and std in case of Gaussian=TRUE Type: (Optional: Default=2, 1=original PDE, 2= improved PDE na.rm: (Optional: Default=TRUE). Remove na.

Value

Kernels	[1:m] Numeric vector with kernels (x-values) of a 1D pdf.
PDF	[1:m] Numeric vector with the distribution values of a 1D pdf.
Theta	Numeric vector with parameters of gaussian of mean and standard deviation - NULL if no gaussian used.

Author(s)

Michael Thrun

Examples

if(requireNamespace("FCPS")){
data(Hepta)
Data=Hepta$Data
Cls=Hepta$Cls
Priors=getPriors(Cls)
}

PDEnaiveBayes documentation built on Nov. 17, 2025, 5:07 p.m.