Package: Ultimixt 2.1

Kaniav Kamary

Ultimixt: Bayesian Analysis of Location-Scale Mixture Models using a Weakly Informative Prior

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.

Authors:Kaniav Kamary, Kate Lee

Ultimixt_2.1.tar.gz
Ultimixt_2.1.tar.gz(r-4.5-noble)Ultimixt_2.1.tar.gz(r-4.4-noble)
Ultimixt_2.1.tgz(r-4.4-emscripten)Ultimixt_2.1.tgz(r-4.3-emscripten)
Ultimixt.pdf |Ultimixt.html✨
Ultimixt/json (API)

# Install 'Ultimixt' in R:
install.packages('Ultimixt', 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.

1.00 score 7 scripts 413 downloads 6 exports 3 dependencies

Last updated 8 years agofrom:adece4fe96. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 27 2024
R-4.5-linuxOKNov 27 2024

Exports:K.MixPoisK.MixReparametrizedPlot.MixReparametrizedSM.MAP.MixReparametrizedSM.MixPoisSM.MixReparametrized

Dependencies:codagtoolslattice