dInvGamma

numeric, the shape parameter of gamma distribution.

shape

numeric, the scale, or inverse-scale parameter of gamma distribution. The 'rate' parameter in Gamma is the 'scale' parameter in InvGamma

scale

logical, return log density of LOG=TRUE, default TRUE.

For a random variable x, the density function of Inverse-Gamma distribution is defined as:
 $$(rate^shape)/Gamma(shape) x^{-shape-1} exp(-rate/x)$$

A set of frequently used Bayesian parametric and nonparametric model structures, as well as a set of tools for common analytical tasks. Structures include linear Gaussian systems, Gaussian and Normal-Inverse-Wishart conjugate structure, Gaussian and Normal-Inverse-Gamma conjugate structure, Categorical and Dirichlet conjugate structure, Dirichlet Process on positive integers, Dirichlet Process in general, Hierarchical Dirichlet Process ... Tasks include updating posteriors, sampling from posteriors, calculating marginal likelihood, calculating posterior predictive densities, sampling from posterior predictive distributions, calculating "Maximum A Posteriori" (MAP) estimates ... See <https://chenhaotian.github.io/Bayesian-Bricks/> to get started.

dInvGamma: Density function of Inverse-Gamma distribution

Description

Usage

Arguments

Value