SALTSampler: Efficient Sampling on the Simplex
Version 0.1

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.

Package details

AuthorHannah Director, Scott Vander Wiel, James Gattiker
Date of publication2015-11-03 01:13:45
MaintainerScott Vander Wiel <>
LicenseBSD_3_clause + file LICENSE
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the SALTSampler package in your browser

Any scripts or data that you put into this service are public.

SALTSampler documentation built on May 29, 2017, 1:41 p.m.