CDF: Inference on Cumulative Distribution Function

In LearnNonparam: 'R6'-Based Flexible Framework for Permutation Tests

Inference on Cumulative Distribution Function

Description

Performs statistical inference on population cumulative distribution function.

Super classes

LearnNonparam::PermuTest -> LearnNonparam::OneSampleTest -> CDF

Methods

Public methods

• CDF$new()

• CDF$plot()

Inherited methods

• LearnNonparam::PermuTest$print()
• LearnNonparam::PermuTest$test()

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Method new()

Create a new CDF object.

Usage

CDF$new(method = c("binomial", "dkw"), conf_level = 0.95)

Arguments

method

a character string specifying whether to use a confidence band based on the binomial distribution or the Dvoretzky–Kiefer–Wolfowitz inequality.

conf_level

a number specifying confidence level of the confidence bounds.

Returns

A CDF object.

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Method plot()

Plot the estimate and confidence bounds for population cumulative distribution function.

Usage

CDF$plot(style = c("graphics", "ggplot2"))

Arguments

style

a character string specifying which package to use.

Returns

The object itself (invisibly).

Examples

pmt("onesample.cdf")$test(Table1.2.1)$plot(style = "graphic")

LearnNonparam documentation built on June 8, 2025, 1:46 p.m.