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Ultimixt
View on CRAN: Click
here
Download and install Ultimixt package within the R console
Install from CRAN:
install.packages("Ultimixt")
Install from Github:
library("remotes")
install_github("cran/Ultimixt")
Install by package version:
library("remotes")
install_version("Ultimixt", "2.1")
Attach the package and use:
library("Ultimixt")
Maintained by
Kaniav Kamary
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-12-18
Latest Update: 2017-03-09
Description:
A generic reference Bayesian analysis of unidimensional mixture distributions obtained by a location-scale parameterisation of the model is implemented. The including functions simulate and summarize posterior samples for location-scale mixture models using a weakly informative prior. There is no need to define priors for scale-location parameters except two hyperparameters in which are associated with a Dirichlet prior for weights and a simplex.
How to cite:
Kaniav Kamary (2015). Ultimixt: Bayesian Analysis of Location-Scale Mixture Models using a Weakly Informative Prior. R package version 2.1, https://cran.r-project.org/web/packages/Ultimixt
Previous versions and publish date:
2.0 (2015-12-18 06:43)
Other packages that cited Ultimixt R package
View Ultimixt citation profile
Other R packages that Ultimixt depends,
imports, suggests or enhances
Functions, R codes and Examples using
the Ultimixt R package
Some associated functions: K.MixPois . K.MixReparametrized . Plot.MixReparametrized . SM.MAP.MixReparametrized . SM.MixPois . SM.MixReparametrized . Ultimixt-package .
Some associated R codes: K.MixPois.R . K.MixReparametrized.R . Plot.MixReparametrized.R . SM.MAP.MixReparametrized.R . SM.MixPois.R . SM.MixReparametrized.R . Full Ultimixt package functions and examples
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