invgamma: Inverse Gamma Distribution
In Boom: Bayesian Object Oriented Modeling

invgamma

R Documentation

Inverse Gamma Distribution

Description

Density, distribution function, quantile function, and random draws from the inverse gamma distribution.

Usage

dinvgamma(x, shape, rate, logscale = FALSE)
pinvgamma(x, shape, rate, lower.tail = TRUE, logscale = FALSE)
qinvgamma(p, shape, rate, lower.tail = TRUE, logscale = FALSE)
rinvgamma(n, shape, rate)

Arguments

`x`	A vector of deviates where the density or distribution function is to be evaluated.
`p`	A vector of probabilities representing CDF values (if `lower.tail == TRUE`) or survivor function values (if `lower.tail == FALSE`) from the inverse gamma distribution.
`n`	The desired number of draws from the inverse gamma distribution.
`shape`	The shape parameter.
`rate`	The 'rate' parameter. NOTE: The term 'rate' is used to match the corresponding parameter in `rgamma`. Much of the rest of the world calls this the 'scale' parameter.
`logscale`	Logical. If `TRUE` then probabilities or density values are interpreted on the log scale. Otherwise the scale is the probability or probability density scale.
`lower.tail`	Logical. If TRUE then cumulative probabilities are measured from zero, as in a CDF. If FALSE then cumulative are measured from infinity, as in a survivor function.

Value

rinvgamma returns draws from the distribution.
dinvgamma returns the density function.
pinvgamma returns the cumulative distribution function (or survivor function, if lower.tail == FALSE).
qinvgamma returns quantiles from the distribution. qinvgamma and pinvgamma are inverse functions.