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: 1.0.1
Depends: R (≥ 3.1.2), nimble
Imports: methods
Suggests: knitr, rmarkdown, coda
Published: 2022-05-25
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_1.0.1.tar.gz
Windows binaries: r-devel: nimbleNoBounds_1.0.1.zip, r-release: nimbleNoBounds_1.0.1.zip, r-oldrel: nimbleNoBounds_1.0.1.zip
macOS binaries: r-release (arm64): nimbleNoBounds_1.0.1.tgz, r-oldrel (arm64): nimbleNoBounds_1.0.1.tgz, r-release (x86_64): nimbleNoBounds_1.0.1.tgz, r-oldrel (x86_64): nimbleNoBounds_1.0.1.tgz

Linking:

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