The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Implements Bayesian Distribution Regression methods. This package contains functions for three estimators (non-asymptotic, semi-asymptotic and asymptotic) and related routines for Bayesian Distribution Regression in Huang and Tsyawo (2018) <doi:10.2139/ssrn.3048658> which is also the recommended reference to cite for this package. The functions can be grouped into three (3) categories. The first computes the logit likelihood function and posterior densities under uniform and normal priors. The second contains Independence and Random Walk Metropolis-Hastings Markov Chain Monte Carlo (MCMC) algorithms as functions and the third category of functions are useful for semi-asymptotic and asymptotic Bayesian distribution regression inference.
| Version: | 0.1.0 |
| Depends: | R (≥ 2.1.0) |
| Imports: | MASS, sandwich, stats |
| Published: | 2019-02-05 |
| Author: | Emmanuel Tsyawo [aut, cre], Weige Huang [aut] |
| Maintainer: | Emmanuel Tsyawo <estsyawo at temple.edu> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| In views: | Bayesian |
| CRAN checks: | bayesdistreg results |
| Reference manual: | bayesdistreg.pdf |
| Package source: | bayesdistreg_0.1.0.tar.gz |
| Windows binaries: | r-devel: bayesdistreg_0.1.0.zip, r-release: bayesdistreg_0.1.0.zip, r-oldrel: bayesdistreg_0.1.0.zip |
| macOS binaries: | r-release (arm64): bayesdistreg_0.1.0.tgz, r-oldrel (arm64): bayesdistreg_0.1.0.tgz, r-release (x86_64): bayesdistreg_0.1.0.tgz, r-oldrel (x86_64): bayesdistreg_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=bayesdistreg to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.