logistic_distribution: Logistic Distribution Functions

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

Logistic Distribution Functions

Description

Functions to compute the probability density function, cumulative distribution function, and quantile function for the Logistic distribution.

Usage

logistic_distribution(location = 0, scale = 1)

logistic_pdf(x, location = 0, scale = 1)

logistic_lpdf(x, location = 0, scale = 1)

logistic_cdf(x, location = 0, scale = 1)

logistic_lcdf(x, location = 0, scale = 1)

logistic_quantile(p, location = 0, scale = 1)

Arguments

location	location parameter (default is 0)
scale	scale parameter (default is 1)
x	quantile
p	probability (0 <= p <= 1)

Value

A single numeric value with the computed probability density, log-probability density, cumulative distribution, log-cumulative distribution, or quantile depending on the function called.

See Also

Boost Documentation for more details on the mathematical background.

Examples

# Logistic distribution with location = 0, scale = 1
dist <- logistic_distribution(0, 1)
# Apply generic functions
cdf(dist, 0.5)
logcdf(dist, 0.5)
pdf(dist, 0.5)
logpdf(dist, 0.5)
hazard(dist, 0.5)
chf(dist, 0.5)
mean(dist)
median(dist)
mode(dist)
range(dist)
quantile(dist, 0.2)
standard_deviation(dist)
support(dist)
variance(dist)
skewness(dist)
kurtosis(dist)
kurtosis_excess(dist)

# Convenience functions
logistic_pdf(0)
logistic_lpdf(0)
logistic_cdf(0)
logistic_lcdf(0)
logistic_quantile(0.5)

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