A collection of continuous univariate probability distributions transformed to the (unbounded) real line. Using these transformed distributions can result in more efficient MCMC, particularly when adaptive Metropolis-Hastings is used to sample in the vicinity of bounds on the parameter-space. See vignette("nimbleNoBounds") for several examples.
The package can be installed from CRAN. In the R console, just write
install.packages("nimbleNoBounds")
The package can be installed from github using the R package 'remotes' as follows.
remotes::install_git(url="https://github.com/DRJP/nimbleNoBounds.git", subdir="nimbleNoBounds", build_vignettes = TRUE)
Switching to 'build_vignettes = FALSE' makes for a faster installation, and thus may be a prefered option for users already familiar with the package.
If you use this package in you analyses, please cite the following DOI.
The full citation is available in BibTex format via the following R command.
citation("nimbleNoBounds")