Samples independent random numbers from the inverted gamma-2 distribution, denoted by \(IG2(s, \nu)\), with density $$f(x) = \frac{(s/2)^{\nu/2}}{\Gamma(\nu/2)} x^{-(\nu+2)/2}\exp\left(-\frac{s}{2x}\right), \quad x > 0.$$ The draws are generated as \(s/Z\), where \(Z\) follows a chi-squared distribution with \(\nu\) degrees of freedom.
This distribution is commonly used for variance parameters in Bayesian models.
Value
A numeric vector of length n containing independent draws
from the inverted gamma-2 distribution. C++: an
arma::vec object.
Details
This function is based on C++ code from the GPL-3 R package bsvars by Woźniak (2024, 2025). It uses random-number generators from the armadillo library by Sanderson & Curtin (2025), made available to R through the RcppArmadillo package by Eddelbuettel et al. (2025).
References
Bauwens L., Lubrano M., Richard J.-F. (1999). Bayesian Inference in Dynamic Econometric Models. Oxford University Press.
Eddelbuettel D., François R., Bates D., Ni B., Sanderson C. (2025). RcppArmadillo: 'Rcpp' Integration for the 'Armadillo' Templated Linear Algebra Library. R package version 15.0.2-2. doi:10.32614/CRAN.package.RcppArmadillo
Sanderson C., Curtin R. (2025). Armadillo: An Efficient Framework for Numerical Linear Algebra. International Conference on Computer and Automation Engineering, 303–307. doi:10.1109/ICCAE64891.2025.10980539
Woźniak T. (2024). bsvars: Bayesian Estimation of Structural Vector Autoregressive Models, R package version 3.2. doi:10.32614/CRAN.package.bsvars
Woźniak T. (2025). Fast and Efficient Bayesian Analysis of Structural Vector Autoregressions Using the R Package bsvars. University of Melbourne Working Paper, 1–25. doi:10.48550/arXiv.2410.15090
Author
Tomasz Woźniak wozniak.tom@pm.me
