Contains functions to perform Bayesian
inference using posterior simulation for a number of
statistical models. Most simulation is done in compiled C++
written in the Scythe Statistical Library Version 1.0.3. All
models return coda mcmc objects that can then be summarized
using the coda package. Some useful
utility functions such as density functions,
pseudo-random number generators for statistical
distributions, a general purpose Metropolis sampling algorithm,
and tools for visualization are provided.
| Version: |
1.3-8 |
| Depends: |
R (≥ 2.10.0), coda (≥ 0.11-3), MASS, stats |
| Imports: |
graphics, grDevices, lattice, methods, utils, mcmc, quantreg |
| Published: |
2016-10-27 |
| Author: |
Andrew D. Martin, Kevin M. Quinn, and Jong Hee Park |
| Maintainer: |
Jong Hee Park <jongheepark at snu.ac.kr> |
| License: |
GPL-3 |
| URL: |
http://mcmcpack.berkeley.edu |
| NeedsCompilation: |
yes |
| SystemRequirements: |
gcc (>= 4.0) |
| Citation: |
MCMCpack citation info |
| Materials: |
README |
| In views: |
Bayesian, Distributions, Multivariate, Psychometrics, Survival |
| CRAN checks: |
MCMCpack results |