GIGrvg: Random Variate Generator for the GIG Distribution

Canonical link: https://rscholar.com/pkg/GIGrvg

Josef Leydold • Wolfgang Hormann • View description and downloads View dependencies GitHub project

2013 Published

0.8 Version

0 Citations

2 Authors

Referenced by ⇅	Year
BGVAR: Bayesian Global Vector Autoregressions (Version 2.5.8)	2020
MBSP: Multivariate Bayesian Model with Shrinkage Priors (Version 4.0)	2018
NVCSSL: Nonparametric Varying Coefficient Spike-and-Slab Lasso (Version 2.0)	2020
PRSPGx: Construct PGx PRS (Version 0.3.0)	2021
SAGM: Spatial Autoregressive Graphical Model (Version 1.0.0)	2023
bayesianVARs: MCMC Estimation of Bayesian Vectorautoregressions (Version 0.1.4)	2024
bibs: Bayesian Inference for the Birnbaum-Saunders Distribution (Version 1.1.1)	2022
bqror: Bayesian Quantile Regression for Ordinal Models (Version 1.7.0)	2020
bspcov: Bayesian Sparse Estimation of a Covariance Matrix (Version 1.0.0)	2024
bsvars: Bayesian Estimation of Structural Vector Autoregressive Models (Version 3.2)	2022
bvhar: Bayesian Vector Heterogeneous Autoregressive Modeling (Version 2.1.2)	2023
dlbayes: Use Dirichlet Laplace Prior to Solve Linear Regression Problem and Do Variable Selection (Version 0.1.0)	2018
factorstochvol: Bayesian Estimation of (Sparse) Latent Factor Stochastic Volatility Models (Version 1.1.0)	2016
mcmcsae: Markov Chain Monte Carlo Small Area Estimation (Version 0.7.7)	2020
mixbox: Observed Fisher Information Matrix for Finite Mixture Model (Version 1.2.3)	2023
mtarm: Bayesian Estimation of Multivariate Threshold Autoregressive Models (Version 0.1.2)	2024
shrinkTVP: Efficient Bayesian Inference for Time-Varying Parameter Models with Shrinkage (Version 3.0.1)	2019
sparsereg: Sparse Bayesian Models for Regression, Subgroup Analysis, and Panel Data (Version 1.2)	2015
ssym: Fitting Semi-Parametric log-Symmetric Regression Models (Version 1.5.8)	2014

RPKG Scholar presents a tabulation of an author's contribution in the development of R packages stored in the Comprehensive R Archive Network (CRAN). Within this site, we consider package dependencies (suggests,imports,depends,enhances) as citations because we believe that using one's package to develop another is tantamount to citing the author of the package being imported, suggested or enhanced.