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.

nimbleNoBounds: Transformed Distributions for Improved MCMC Efficiency

A collection of common univariate bounded probability distributions transformed to the unbounded real line, for the purpose of increased MCMC efficiency.

Version: 1.0.2
Depends: R (≥ 3.1.2), nimble
Imports: methods
Suggests: knitr, rmarkdown, coda
Published: 2023-02-09
Author: David Pleydell [aut, cre, cph] (Package developer, <https://orcid.org/0000-0002-6450-1475>)
Maintainer: David Pleydell <david.pleydell at inrae.fr>
License: BSD_3_clause + file LICENSE
Copyright: See COPYRIGHTS file.
nimbleNoBounds copyright details
URL: https://github.com/DRJP/nimbleNoBounds
NeedsCompilation: no
Citation: nimbleNoBounds citation info
Materials: README NEWS
CRAN checks: nimbleNoBounds results

Documentation:

Reference manual: nimbleNoBounds.pdf
Vignettes: A quick guide to nimbleNoBounds

Downloads:

Package source: nimbleNoBounds_1.0.2.tar.gz
Windows binaries: r-devel: nimbleNoBounds_1.0.2.zip, r-release: nimbleNoBounds_1.0.2.zip, r-oldrel: nimbleNoBounds_1.0.2.zip
macOS binaries: r-release (arm64): nimbleNoBounds_1.0.2.tgz, r-oldrel (arm64): nimbleNoBounds_1.0.2.tgz, r-release (x86_64): nimbleNoBounds_1.0.2.tgz, r-oldrel (x86_64): nimbleNoBounds_1.0.2.tgz
Old sources: nimbleNoBounds archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=nimbleNoBounds 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.