getPDF: returns the probability density function

In DistributionalDDA: Distributional Data Analysis in Bayes Spaces

returns the probability density function

Description

The probability density function, also known as the Lebesgue density of the measure is returned. In case of datasets a dataset of such functions is returned. (To be encoded as BDataPDF)

Usage

getPDF(X, ...)

## S3 method for class 'ReferenceMeasureUniform'
getPDF(X, ...)

## S3 method for class 'ReferenceMeasureTransformed'
getPDF(X, ...)

## S3 method for class 'BData'
getPDF(X, ...)

Arguments

X	the distribution hows Lebesgue density shall be returned
...	potential futher arguments for the computational method

Value

a function (or a list of functions if a dataset of distributions is given) that can compute the probably density function.

Methods (by class)

• getPDF(ReferenceMeasureUniform): method for ReferenceMeasureUniform

• getPDF(ReferenceMeasureTransformed): method for ReferenceMeasureUniform

• getPDF(BData): method for BData objects, returns BDataPDFs (TODO)

Examples

x = seq(-1,2,by=0.1)
f1 = getPDF(StdReferenceMeasureUnif01)
plot(x,f1(x))
f2 = getPDF(StdReferenceMeasureN01)
plot(x,f2(x),type="l")
f3 = getPDF(BDataLogDensities(list(sin),basis=B2Unif01Basis5))
plot(x,f3(x),type="l")
getPDF(BDataLogDensities(list(sin,cos,\(x)(1)),basis=B2Unif01Basis5))

DistributionalDDA documentation built on Oct. 20, 2026, 5:06 p.m.