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SALTSampler  

Efficient Sampling on the Simplex
View on CRAN: Click here


Download and install SALTSampler package within the R console
Install from CRAN:
install.packages("SALTSampler")

Install from Github:
library("remotes")
install_github("cran/SALTSampler")

Install by package version:
library("remotes")
install_version("SALTSampler", "1.1.0")



Attach the package and use:
library("SALTSampler")
Maintained by
Scott Vander Wiel
[Scholar Profile | Author Map]
First Published: 2015-11-03
Latest Update: 2017-08-10
Description:
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.
How to cite:
Scott Vander Wiel (2015). SALTSampler: Efficient Sampling on the Simplex. R package version 1.1.0, https://cran.r-project.org/web/packages/SALTSampler. Accessed 28 Feb. 2025.
Previous versions and publish date:
0.1 (2015-11-03 01:13)
Other packages that cited SALTSampler R package
View SALTSampler citation profile
Other R packages that SALTSampler depends, imports, suggests or enhances
Complete documentation for SALTSampler
Functions, R codes and Examples using the SALTSampler R package
Some associated functions: Diagnostics . GenData . LogPq . Logit . LogitScale . LogitSum . PropStep . RunMh . SALTSampler-package . TriPlot . 
Some associated R codes: Diagnostics.R . GenData.R . LogPq.R . Logit.R . LogitScale.R . LogitSum.R . PropStep.R . RunMh.R . SimplexMCMC-internal.R . TriPlot.R .  Full SALTSampler package functions and examples
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