Package: MixSemiRob 1.1.0

MixSemiRob: Mixture Models: Parametric, Semiparametric, and Robust

Various functions are provided to estimate parametric mixture models (with Gaussian, t, Laplace, log-concave distributions, etc.) and non-parametric mixture models. The package performs hypothesis tests and addresses label switching issues in mixture models. The package also allows for parameter estimation in mixture of regressions, proportion-varying mixture of regressions, and robust mixture of regressions.

Authors:Suyeon Kang [aut, cre], Xin Shen [aut], Weixin Yao [aut], Sijia Xiang [aut], Yan Ge [aut, trl]

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MixSemiRob.pdf |MixSemiRob.html✨
MixSemiRob/json (API)
NEWS

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

Peer review:

Datasets:

On CRAN:

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

1.00 score 141 downloads 31 exports 83 dependencies

Last updated 1 years agofrom:8693f65306. Checks:OK: 5 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 15 2024
R-4.5-winNOTEOct 15 2024
R-4.5-linuxNOTEOct 15 2024
R-4.4-winOKOct 15 2024
R-4.4-macOKOct 15 2024
R-4.3-winOKOct 15 2024
R-4.3-macOKOct 15 2024

Exports:complhdistlatEMnormalkdeemkdeem.hkdeem.lsemixLogconcmixLogconcHDmixMPHDmixnormmixOneknmixpfmixregmixregBisqmixregLapmixregPvarymixregPvaryGenmixregRM2mixregTmixregTrimmixScalemixTestsemimrBinsemimrBinFullsemimrBinOnesemimrFullsemimrGensemimrGlobalsemimrLocalsemimrOnesinvreg

Dependencies:askpassbase64encbslibcachemclicolorspacecpp11crosstalkcurldata.tableDEoptimRdigestdplyrevaluatefansifarverfastmapfontawesomefsgenericsggplot2glueGoFKernelgtablehighrhtmltoolshtmlwidgetshttrisobandjquerylibjsonlitekernlabKernSmoothknitrlabelinglaterlatticelazyevallifecyclemagrittrMASSMatrixmemoisemgcvmimemixtoolsmunsellmvtnormnlmeopensslpillarpkgconfigplotlypracmapromisespurrrquadprogR6rappdirsRColorBrewerRcppRlabrlangrmarkdownrobustbasesassscalessegmentedstringistringrsurvivalsystibbletidyrtidyselecttinytexucminfutf8vctrsviridisLitewithrxfunyaml

Readme and manuals

Help Manual

Help pageTopics
AFDP dataAFDP
Complete Likelihood Frequency Method for Label Switchingcomplh
Euclidean Distance Based Labeling Method for Label Switchingdistlat
Elbow dataelbow
Parameter Estimation of Normal Mixture Using EM AlgorithmEMnormal
Ethanol dataethanol
Kernel Density-based EM-type algorithm for Semiparametric Mixture Regression with Unspecified Error Distributionskdeem
Kernel Density-based EM-type algorithm for Semiparametric Mixture Regression with Unspecified Homogenous Error Distributionskdeem.h
Kernel Density-based EM-type algorithm with Least Square Estimation for Semiparametric Mixture Regression with Unspecified Homogenous Error Distributionskdeem.lse
Clustering with Mixtures of Log-concave Distributions using EM Algorithm (Univariate)mixLogconc
Clustering with Mixtures of Log-concave Distributions using EM Algorithm (Multivariate)mixLogconcHD
Semiparametric Mixture Model by Minimizing Profile Hellinger DistancemixMPHD
Parameter Estimation for Uni- or Multivariate Normal Mixture Modelsmixnorm
Two-component Normal Mixture Estimation with One Known ComponentmixOnekn
Profile Likelihood Method for Normal Mixture with Unequal Variancemixpf
MLE of Mixture Regression with Normal Errorsmixreg
Robust EM Algorithm For Mixture of Linear Regression Based on Bisquare FunctionmixregBisq
Robust Mixture Regression with Laplace DistributionmixregLap
Mixture of Regression Models with Varying Mixing ProportionsmixregPvary
Varying Proportion Mixture Data GeneratormixregPvaryGen
Robust Mixture Regression with Thresholding-Embedded EM Algorithm for Penalized EstimationmixregRM2
Robust Mixture Regression with T-distributionmixregT
Robust Regression Estimator Using Trimmed LikelihoodmixregTrim
Continuous Scale Mixture Approach for Normal Scale Mixture ModelmixScale
Goodness of Fit Test for Finite Mixture ModelsmixTest
NBA dataNBA
ROE dataROE
Semiparametric Mixture of Binomial Regression with a Degenerate Component with Time-Varying Proportion and Time-Varying Success ProbabilitysemimrBin
Semiparametric Mixture of Binomial Regression with a Degenerate Component with Constant Proportion and Time-Varying Success Probability (Backfitting)semimrBinFull
Semiparametric Mixture of Binomial Regression with a Degenerate Component with Constant Proportion and Time-Varying Success Probability (One-step Backfitting)semimrBinOne
Semiparametric Mixture Regression Models with Single-index Proportion and Fully Iterative BackfittingsemimrFull
Semiparametric Mixture Data GeneratorsemimrGen
Semiparametric Mixtures of Nonparametric Regressions with Global EM-type AlgorithmsemimrGlobal
Semiparametric Mixtures of Nonparametric Regressions with Local EM-type AlgorithmsemimrLocal
Semiparametric Mixture Regression Models with Single-index and One-step BackfittingsemimrOne
Dimension Reduction Based on Sliced Inverse Regressionsinvreg
Tone perception datatone