Package: mixture 2.1.1
Paul D. McNicholas
mixture: Mixture Models for Clustering and Classification
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) <doi:10.1016/0031-3203(94)00125-6>, Browne and McNicholas (2014) <doi:10.1007/s11634-013-0139-1>, Browne and McNicholas (2015) <doi:10.1002/cjs.11246>.
Authors:
mixture_2.1.1.tar.gz
mixture_2.1.1.tar.gz(r-4.5-noble)mixture_2.1.1.tar.gz(r-4.4-noble)
mixture_2.1.1.tgz(r-4.4-emscripten)mixture_2.1.1.tgz(r-4.3-emscripten)
mixture.pdf |mixture.html✨
mixture/json (API)
# Install 'mixture' in R: |
install.packages('mixture', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 11 months agofrom:e6f0d3e23a. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 25 2024 |
R-4.5-linux-x86_64 | OK | Nov 25 2024 |
Exports:ARIe_stepget_best_modelghpcmgpcmmain_loopmain_loop_ghmain_loop_stmain_loop_tmain_loop_vgMAPpcmstpcmtpcmvgpcmz_ig_kmeansz_ig_random_hardz_ig_random_soft
Dependencies:BHlatticeRcppRcppArmadilloRcppGSL
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Adjusted Rand Index | ARI |
Expectation Step | e_step |
Best Model Extractor | get_best_model |
Generalized Hyperbolic Parsimonious Clustering Models | ghpcm |
Gaussian Parsimonious Clustering Models | gpcm |
GPCM Internal C++ Call | main_loop |
GHPCM Internal C++ Call | main_loop_gh |
STPCM Internal C++ Call | main_loop_st |
TPCM Internal C++ Call | main_loop_t |
VGPCM Internal C++ Call | main_loop_vg |
Maximum _a posterori_ | MAP |
Mixture Models for Clustering and Classification | mixture-package mixture |
Parsimonious Clustering Models | pcm |
Skew-t Parsimonious Clustering Models | stpcm |
Skewed Simulated Data 1 | sx2 |
Skewed Simulated Data 2 | sx3 |
Student T Parsimonious Clustering Models | tpcm |
Variance Gamma Parsimonious Clustering Models | vgpcm |
Simulated Data | x2 |
K-means Initialization | z_ig_kmeans |
Random Hard Initialization | z_ig_random_hard |
Random Soft Initialization | z_ig_random_soft |