generic_distribution_functions: Generic Distribution Functions

In boostmath: 'R' Bindings for the 'Boost' Math Functions

Generic Distribution Functions

Description

Generic functions for computing various properties of statistical distributions.

Usage

cdf(x, ...)

logcdf(x, ...)

pdf(x, ...)

logpdf(x, ...)

hazard(x, ...)

chf(x, ...)

mode(x, ...)

standard_deviation(x, ...)

support(x, ...)

variance(x, ...)

skewness(x, ...)

kurtosis(x, ...)

kurtosis_excess(x, ...)

Arguments

x	A distribution object created by a distribution constructor function.
...	Additional arguments passed to specific methods.

Value

A single numeric value with the computed probability density, log-probability density, cumulative distribution, log-cumulative distribution, quantile, mean, median, mode, range, standard deviation, support, variance, skewness, kurtosis, or excess kurtosis depending on the function called.

Examples

# Create a Weibull distribution
weibull_dist <- weibull_distribution(shape = 2, scale = 1)
# Compute the CDF at a specific point
cdf(weibull_dist, 1)
# Check support
support(weibull_dist)

boostmath documentation built on Dec. 15, 2025, 5:07 p.m.