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mixture  

Mixture Models for Clustering and Classification
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("mixture", "2.1.1")



Attach the package and use:
library("mixture")
Maintained by
Paul D. McNicholas
[Scholar Profile | Author Map]
First Published: 2013-03-09
Latest Update: 2024-01-30
Description:
An implementation of 14 parsimonious mixture models for model-based clustering or model-based classification. Gaussian, Student's t, generalized hyperbolic, variance-gamma or skew-t mixtures are available. All approaches work with missing data. Celeux and Govaert (1995) , Browne and McNicholas (2014) , Browne and McNicholas (2015) .
How to cite:
Paul D. McNicholas (2013). mixture: Mixture Models for Clustering and Classification. R package version 2.1.1, https://cran.r-project.org/web/packages/mixture. Accessed 05 May. 2025.
Previous versions and publish date:
1.0 (2013-03-09 16:32), 1.1 (2014-07-12 14:21), 1.2 (2014-12-28 05:14), 1.3 (2015-01-02 11:08), 1.4 (2016-12-27 15:28), 1.5.1 (2020-12-12 13:42), 1.5 (2018-02-13 23:07), 2.0.0 (2021-01-12 00:00), 2.0.1 (2021-01-16 03:10), 2.0.2 (2021-01-18 17:50), 2.0.3 (2021-03-02 22:50), 2.0.4 (2021-04-19 16:50), 2.0.5 (2022-09-23 23:20), 2.0.6 (2023-09-26 19:10), 2.1.0 (2024-01-23 16:00)
Other packages that cited mixture R package
View mixture citation profile
Other R packages that mixture depends, imports, suggests or enhances
Complete documentation for mixture
Functions, R codes and Examples using the mixture R package
Some associated functions: ARI . MAP . e_step . get_best_model . ghpcm . gpcm . main_loop . main_loop_gh . main_loop_st . main_loop_t . main_loop_vg . mixture . pcm . stpcm . sx2 . sx3 . tpcm . vgpcm . x2 . z_ig_kmeans . z_ig_random_hard . z_ig_random_soft . 
Some associated R codes: RcppExports.R . gh_mixture.R . mixture.R . pcm.R . st_mixture.R . t_mixture.R . vg_mixture.R .  Full mixture package functions and examples
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