Package: MixtureMissing 3.0.3

MixtureMissing: Robust and Flexible Model-Based Clustering for Data Sets with Missing Values at Random

Implementations of various robust and flexible model-based clustering methods for data sets with missing values at random. Two main models are: Multivariate Contaminated Normal Mixture (MCNM, Tong and Tortora, 2022, <doi:10.1007/s11634-021-00476-1>) and Multivariate Generalized Hyperbolic Mixture (MGHM, Wei et al., 2019, <doi:10.1016/j.csda.2018.08.016>). Mixtures via some special or limiting cases of the multivariate generalized hyperbolic distribution are also included: Normal-Inverse Gaussian, Symmetric Normal-Inverse Gaussian, Skew-Cauchy, Cauchy, Skew-t, Student's t, Normal, Symmetric Generalized Hyperbolic, Hyperbolic Univariate Marginals, Hyperbolic, and Symmetric Hyperbolic.

Authors:Hung Tong [aut, cre], Cristina Tortora [aut, ths, dgs]

MixtureMissing_3.0.3.tar.gz
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MixtureMissing.pdf |MixtureMissing.html
MixtureMissing/json (API)

# Install 'MixtureMissing' in R:
install.packages('MixtureMissing', repos = c('https://hungtong.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • UScost - US Cost of Living Indices in 2019 Data Set
  • auto - Automobile Data Set
  • bankruptcy - Bankruptcy Data Set

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.60 score 2 scripts 313 downloads 9 exports 67 dependencies

Last updated 22 days agofrom:3631c5dfa0. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 16 2024
R-4.5-winOKOct 16 2024
R-4.5-linuxOKOct 16 2024
R-4.4-winOKOct 16 2024
R-4.4-macOKOct 16 2024
R-4.3-winOKOct 16 2024
R-4.3-macOKOct 16 2024

Exports:evaluation_metricsextractgenerate_patternshide_valuesinitialize_clustersMCNMmean_imputeMGHMselect_mixture

Dependencies:backportsBesselbitbit64bootbroomclicliprclustercodetoolscpp11crayondplyrfansiforcatsforeachgenericsglmnetgluegmphavenhmsiteratorsjomolatticelifecyclelme4magrittrMASSMatrixmclustmiceminqamitmlmnormtmvtnormnlmenloptrnnetnumDerivordinalpanpillarpkgconfigprettyunitsprogresspurrrR6RcppRcppEigenreadrrlangRmpfrrpartshapestringistringrsurvivaltibbletidyrtidyselecttzdbucminfutf8vctrsvroomwithr