BaseDistribution: Base distribution class

In midi: Microstructure Information from Diffusion Imaging

Base distribution class

Description

This class defines the base distribution class from which all other distributions inherit. It provides a common interface for fitting the distribution to data and generating random samples.

Methods

Public methods

• BaseDistribution$fit()

• BaseDistribution$random()

• BaseDistribution$get_mean()

• BaseDistribution$get_variance()

• BaseDistribution$clone()

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BaseDistribution$fit()

Fit the distribution to the data.

Usage

BaseDistribution$fit(x)

Arguments

x

A numeric vector of data to fit the distribution to.

Returns

Internally sets the parameters of the distribution. Returns nothing.

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BaseDistribution$random()

Generate random samples from the distribution.

Usage

BaseDistribution$random(n)

Arguments

n

An integer specifying the number of samples to generate.

Returns

A numeric vector of size n containing the random samples.

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BaseDistribution$get_mean()

Compute the mean of the distribution.

Usage

BaseDistribution$get_mean()

Returns

A numeric value storing the mean of the distribution.

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BaseDistribution$get_variance()

Compute the variance of the distribution.

Usage

BaseDistribution$get_variance()

Returns

A numeric value storing the variance of the distribution.

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BaseDistribution$clone()

The objects of this class are cloneable with this method.

Usage

BaseDistribution$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

midi documentation built on July 6, 2026, 1:08 a.m.