convert_chisq_to_gamma: Convert parameters from a Normal-Inverse-Chi-Squared...

In RARtrials: Response-Adaptive Randomization in Clinical Trials

Convert parameters from a Normal-Inverse-Chi-Squared Distribution to a Normal-Inverse-Gamma Distribution

Description

Convert parameters from a Normal-Inverse-Chi-Squared distribution to a Normal-Inverse-Gamma distribution.

Usage

convert_chisq_to_gamma(cpar)

Arguments

cpar	a list of parameters including mu, kappa, nu, sigsq from a Normal-Chi-Squared distribution.

Details

This function convert parameters from a Normal-Inverse-Chi-Squared ((\mu,\sigma^2) \sim NIX({\sf mean}=\mu,{\sf effective sample size}=\kappa,{\sf degrees of freedom}=\nu,{\sf variance}=\sigma^2/\kappa)) distribution to a Normal-Inverse-Gamma ((\mu,\sigma^2) \sim NIG({\sf mean}=m,{\sf variance}=V \times \sigma^2,{\sf shape}=a,{\sf rate}=b)) distribution.

Value

A list of parameters including m, V, a, b from a Normal-Inverse-Gamma distribution.

References

\insertRef

Kevin2007RARtrials

Examples

convert_chisq_to_gamma(list(mu=0.091,kappa=2,nu=1,sigsq=4e-05))

RARtrials documentation built on April 4, 2025, 1:21 a.m.