invGamma: Functions for the inverse gamma distribution.
In bfp: Bayesian Fractional Polynomials

dinvGamma

R Documentation

Functions for the inverse gamma distribution.

Description

Functions for the inverse gamma distribution, analogues to the gamma distribution functions.

Usage

dinvGamma(x, a, b, log = FALSE, normalize = TRUE)
pinvGamma(q, a, b, lower.tail = TRUE, log.p = FALSE)
qinvGamma(p, a, b, lower.tail = TRUE, log.p = FALSE)
rinvGamma(n, a, b)

Arguments

`x`, `q`	vector of quantiles
`a`	shape parameter
`b`	rate parameter
`log`, `log.p`	logical; if `TRUE`, probabilities/densities p are returned as log(p)
`normalize`	normalize the density function? (default)
`lower.tail`	logical; if `TRUE` (default), probabilities are P[X <= x], otherwise, P[X > x]
`p`	vector of probabilities
`n`	number of observations. If `length(n) > 1`, the length is taken to be the number required