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Nmix  

Bayesian Inference on Univariate Normal Mixtures
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("Nmix", "2.0.5")



Attach the package and use:
library("Nmix")
Maintained by
Peter Green
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-01-12
Latest Update: 2023-09-19
Description:
A program for Bayesian analysis of univariate normal mixtures with an unknown number of components, following the approach of Richardson and Green (1997) . This makes use of reversible jump Markov chain Monte Carlo methods that are capable of jumping between the parameter sub-spaces corresponding to different numbers of components in the mixture. A sample from the full joint distribution of all unknown variables is thereby generated, and this can be used as a basis for a thorough presentation of many aspects of the posterior distribution.
How to cite:
Peter Green (2022). Nmix: Bayesian Inference on Univariate Normal Mixtures. R package version 2.0.5, https://cran.r-project.org/web/packages/Nmix. Accessed 05 Jun. 2026.
Previous versions and publish date:
1.1.2 (2022-01-12 11:42), 1.2.0 (2022-01-27 19:40), 1.2.1 (2022-02-01 08:50), 2.0.0 (2022-03-26 00:20), 2.0.1 (2022-03-28 01:10), 2.0.2 (2022-04-02 14:20), 2.0.3 (2022-04-06 22:42), 2.0.4 (2023-07-19 21:10)
Other packages that cited Nmix R package
View Nmix citation profile
Other R packages that Nmix depends, imports, suggests or enhances
Complete documentation for Nmix
Functions, R codes and Examples using the Nmix R package
Some associated functions: Nmix-package . Nmix . enz . galx . lnacid . plot.nmix . print.nmix . readf2cio . sdrni . summary.nmix . 
Some associated R codes: Nmix.R . encode.R . plot.nmix.R . plplugin.R . print.nmix.R . readf2cio.R . reimport.R . sdrni.R . summary.nmix.R .  Full Nmix package functions and examples
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