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Exponential Distribution Functions

Source: R/exponential_distribution.R
exponential_distribution.Rd

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

Usage

exponential_pdf(x, lambda)

exponential_lpdf(x, lambda)

exponential_cdf(x, lambda)

exponential_lcdf(x, lambda)

exponential_quantile(p, lambda)

Arguments

x

quantile

lambda

rate parameter (lambda > 0)

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

# Exponential distribution with rate parameter lambda = 2
exponential_pdf(1, 2)
#> [1] 0.2706706
exponential_lpdf(1, 2)
#> [1] -1.306853
exponential_cdf(1, 2)
#> [1] 0.8646647
exponential_lcdf(1, 2)
#> [1] -0.1454135
exponential_quantile(0.5, 2)
#> [1] 0.3465736