Package: SALTSampler 1.1.0

Scott Vander Wiel

SALTSampler: Efficient Sampling on the Simplex

The SALTSampler package facilitates Monte Carlo Markov Chain (MCMC) sampling of random variables on a simplex. A Self-Adjusting Logit Transform (SALT) proposal is used so that sampling is still efficient even in difficult cases, such as those in high dimensions or with parameters that differ by orders of magnitude. Special care is also taken to maintain accuracy even when some coordinates approach 0 or 1 numerically. Diagnostic and graphic functions are included in the package, enabling easy assessment of the convergence and mixing of the chain within the constrained space.

Authors:Hannah Director, Scott Vander Wiel, James Gattiker

SALTSampler_1.1.0.tar.gz
SALTSampler_1.1.0.tar.gz(r-4.5-noble)SALTSampler_1.1.0.tar.gz(r-4.4-noble)
SALTSampler_1.1.0.tgz(r-4.4-emscripten)SALTSampler_1.1.0.tgz(r-4.3-emscripten)
SALTSampler.pdf |SALTSampler.html
SALTSampler/json (API)

# Install 'SALTSampler' in R:
install.packages('SALTSampler', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.28 score 19 scripts 106 downloads 9 exports 1 dependencies

Last updated 7 years agofrom:c2bcac0b22. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 16 2024
R-4.5-linuxOKDec 16 2024

Exports:DiagnosticsGenDataLogitLogitScaleLogitSumLogPqPropStepRunMhTriPlot

Dependencies:lattice