mapairy_distribution: Map-Airy Distribution Functions

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

Map-Airy Distribution Functions

Description

Functions to compute the probability density function, cumulative distribution function, and quantile function for the Map-Airy distribution.

Usage

mapairy_distribution(location = 0, scale = 1)

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

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

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

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

mapairy_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

# Map-Airy distribution with location 0 and scale 1
dist <- mapairy_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)

# Convenience functions
mapairy_pdf(3)
mapairy_lpdf(3)
mapairy_cdf(3)
mapairy_lcdf(3)
mapairy_quantile(0.5)

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