Skip to contents

Inverse-Gamma Distribution

Source: R/distributions.R
invgammadistribution.Rd

Density, (cumulative) distribution function and random generation for inverse-gamma distribution.

Usage

density_inverse_gamma(shape, scale, x)

cdf_inverse_gamma(shape, scale, x)

random_inverse_gamma(shape, scale, n)

Arguments

shape, scale

shape and scale parameters.

x

vector of quantiles.

n

number of observations.

Value

numeric vector

The functions density_XXX and cdf_t return numeric vectors of same length as x. The functions random_XXX return random number (numeric vectors) of length n.

Examples

density_inverse_gamma(shape = 1, scale = 2, x = 1:10)
#>  [1] 0.27067057 0.18393972 0.11409269 0.07581633 0.05362560 0.03980730
#>  [7] 0.03067254 0.02433752 0.01977129 0.01637462
cdf_inverse_gamma(shape = 1, scale = 2, x = 1:10)
#>  [1] 0.1353353 0.3678794 0.5134171 0.6065307 0.6703200 0.7165313 0.7514773
#>  [8] 0.7788008 0.8007374 0.8187308
random_inverse_gamma(shape = 1, scale = 2, n = 10)
#>  [1] 1.7840393 3.6729777 0.8856926 1.8604275 2.8917537 0.4474993 0.4952198
#>  [8] 4.5582559 5.7777559 7.1473634