Package: rebmix 2.16.0

Marko Nagode

rebmix: Finite Mixture Modeling, Clustering & Classification

Random univariate and multivariate finite mixture model generation, estimation, clustering, latent class analysis and classification. Variables can be continuous, discrete, independent or dependent and may follow normal, lognormal, Weibull, gamma, Gumbel, binomial, Poisson, Dirac, uniform or circular von Mises parametric families.

Authors:Marko Nagode [aut, cre], Branislav Panic [ctb], Jernej Klemenc [ctb], Simon Oman [ctb]

rebmix_2.16.0.tar.gz
rebmix_2.16.0.tar.gz(r-4.5-noble)rebmix_2.16.0.tar.gz(r-4.4-noble)
rebmix_2.16.0.tgz(r-4.4-emscripten)rebmix_2.16.0.tgz(r-4.3-emscripten)
rebmix.pdf |rebmix.html✨
rebmix/json (API)
NEWS

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

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

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

139 exports 0.36 score 0 dependencies 1 mentions 43 scripts 838 downloads

Last updated 2 months agofrom:ad164183e1. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 09 2024
R-4.5-linux-x86_64OKSep 09 2024

Exports:a.accelerationa.acceleration.multipliera.acceleration.multiplier<-a.acceleration<-a.Accuracya.all.ICa.all.Ka.ara.Ba.Bootstrapa.ca.c.cva.c.modea.c.proba.c.sea.Chunksa.CMa.cmaxa.Criteriona.da.Dataseta.Dataset.namea.EDa.eliminate.zero.componentsa.eliminate.zero.components<-a.ENa.Errora.froma.ha.Ka.K<-a.levelsa.maximum.iterationsa.maximum.iterations<-a.na.nsa.ntesta.ntraina.oa.opt.ca.opt.Da.opt.ICa.opt.logLa.pa.Pa.pdfa.pia.posa.Precisiona.Preprocessinga.proba.replacea.Restraintsa.rseeda.Rulea.sa.Sensitivitya.Specificitya.strategya.strategy<-a.summarya.summary.EMa.taua.testa.Thetaa.Theta.cva.Theta.sea.theta1a.theta1.alla.theta1.all<-a.theta1<-a.theta2a.theta2.alla.theta2.all<-a.theta2<-a.theta3a.theta3.alla.theta3.all<-a.theta3<-a.toa.tolerancea.tolerance<-a.traina.Variablesa.varianta.variant<-a.wa.w.cva.w.sea.w<-a.Ya.Y<-a.y0a.ymaxa.ymina.Zpa.Zra.ZtAICAIC3AIC4AICcAWEBFSMIXBICbinsbootCAICchistogramchunkCLCdemixdfmixEMMIXfhistogramHQCICLICLBICkseqlabelmomentslogLmapclustersMDL2MDL5mergelabelsoptbinsPCpemixpfmixplotPRDRCLRMIXRCLSMIXREBMIXRNGMIXshowsplitSSEsummary

Dependencies:

rebmix: The Rebmix Package

Rendered fromrebmix.Rnwusingutils::Sweaveon Sep 09 2024.

Last update: 2024-07-11
Started: 2013-10-12

Readme and manuals

Help Manual

Help pageTopics
Adult Datasetadult
Akaike Information CriterionAIC AIC,REBMIX-method AIC,REBMVNORM-method AIC-methods AIC3 AIC3,REBMIX-method AIC3,REBMVNORM-method AIC3-methods AIC4 AIC4,REBMIX-method AIC4,REBMVNORM-method AIC4-methods AICc AICc,REBMIX-method AICc,REBMVNORM-method AICc-methods CAIC CAIC,REBMIX-method CAIC,REBMVNORM-method CAIC-methods
Approximate Weight of Evidence CriterionAWE AWE,REBMIX-method AWE,REBMVNORM-method AWE-methods
Bearings Faults Detection Databearings
Predicts Class Membership Based Upon the Best First Search AlgorithmBFSMIX BFSMIX,RCLSMIX-method BFSMIX,RCLSMVNORM-method BFSMIX-methods
Bayesian Information CriterionBIC BIC,REBMIX-method BIC,REBMVNORM-method BIC-methods
Binning of Databins bins,list-method bins-methods
Parametric or Nonparametric Bootstrap for Standard Error and Coefficient of Variation Estimationboot boot,REBMIX-method boot,REBMVNORM-method boot-methods show,REBMIX.boot-method show,REBMVNORM.boot-method summary,REBMIX.boot-method summary,REBMVNORM.boot-method
Compact Histogram Calculationchistogram chistogram,Histogram-method chistogram-methods
Extracts Chunk from Train and Test Datasetschunk chunk,RCLS.chunk-method chunk-methods show,RCLS.chunk-method
Classification Likelihood CriterionCLC CLC,REBMIX-method CLC,REBMVNORM-method CLC-methods
Empirical Density Calculationdemix demix,REBMIX-method demix,REBMVNORM-method demix-methods
Predictive Marginal Density Calculationdfmix dfmix,REBMIX-method dfmix,REBMVNORM-method dfmix-methods
Class '"EM.Control"'EM.Control-class show,EM.Control-method
EM Algorithm for Univariate or Multivariate Finite Mixture EstimationEMMIX EMMIX,REBMIX-method EMMIX,REBMVNORM-method EMMIX-methods
Class '"EMMIX.Theta"'EMMIX.Theta-class EMMVNORM.Theta-class show,EMMIX.Theta-method show,EMMVNORM.Theta-method
Fast Histogram Calculationfhistogram fhistogram,Histogram-method fhistogram-methods
Galaxy Datasetgalaxy
Class '"Histogram"'Histogram-class
Hannan-Quinn Information CriterionHQC HQC,REBMIX-method HQC,REBMVNORM-method HQC-methods
Integrated Classification Likelihood CriterionICL ICL,REBMIX-method ICL,REBMVNORM-method ICL-methods
Approximate Integrated Classification Likelihood CriterionICLBIC ICLBIC,REBMIX-method ICLBIC,REBMVNORM-method ICLBIC-methods
Iris Data Setiris
Sequence of Bins or Nearest Neighbours Generationkseq
Label Image Momentslabelmoments labelmoments,array-method labelmoments-methods
Log LikelihoodlogL logL,REBMIX-method logL,REBMVNORM-method logL-methods
Map Clustersmapclusters mapclusters,RCLRMIX-method mapclusters,RCLRMVNORM-method mapclusters-methods
Minimum Description LengthMDL2 MDL2,REBMIX-method MDL2,REBMVNORM-method MDL2-methods MDL5 MDL5,REBMIX-method MDL5,REBMVNORM-method MDL5-methods
Merge Labels Based on Probability Adjacency Matrixmergelabels mergelabels,list-method mergelabels-methods
Optimal Numbers of Bins Calculationoptbins optbins,list-method optbins-methods
Partition CoefficientPC PC,REBMIX-method PC,REBMVNORM-method PC-methods
Empirical Distribution Function Calculationpemix pemix,REBMIX-method pemix,REBMVNORM-method pemix-methods
Predictive Marginal Distribution Function Calculationpfmix pfmix,REBMIX-method pfmix,REBMVNORM-method pfmix-methods
Plots RNGMIX, REBMIX, RCLRMIX and RCLSMIX Outputplot,RCLRMIX,missing-method plot,RCLRMVNORM,missing-method plot,RCLSMIX,missing-method plot,RCLSMVNORM,missing-method plot,REBMIX,missing-method plot,REBMVNORM,missing-method plot,RNGMIX,missing-method plot,RNGMVNORM,missing-method plot-methods
Total of Positive Relative DeviationsPRD PRD,REBMIX-method PRD,REBMVNORM-method PRD-methods
Class '"RCLRMIX"'RCLRMIX-class RCLRMVNORM-class
Predicts Cluster Membership Based Upon a Model Trained by REBMIXRCLRMIX RCLRMIX,RCLRMIX-method RCLRMIX,RCLRMVNORM-method RCLRMIX-methods show,RCLRMIX-method show,RCLRMVNORM-method summary,RCLRMIX-method summary,RCLRMVNORM-method
Class '"RCLS.chunk"'RCLS.chunk-class
Class '"RCLSMIX"'RCLSMIX-class RCLSMVNORM-class
Predicts Class Membership Based Upon a Model Trained by REBMIXRCLSMIX RCLSMIX,RCLSMIX-method RCLSMIX,RCLSMVNORM-method RCLSMIX-methods show,RCLSMIX-method show,RCLSMVNORM-method summary,RCLSMIX-method summary,RCLSMVNORM-method
Class '"REBMIX"'REBMIX-class REBMVNORM-class
REBMIX Algorithm for Univariate or Multivariate Finite Mixture EstimationREBMIX REBMIX,REBMIX-method REBMIX,REBMVNORM-method REBMIX-methods show,REBMIX-method show,REBMVNORM-method summary,REBMIX-method summary,REBMVNORM-method
Class '"REBMIX.boot"'REBMIX.boot-class REBMVNORM.boot-class
Class '"RNGMIX"'RNGMIX-class RNGMVNORM-class
Random Univariate or Multivariate Finite Mixture GenerationRNGMIX RNGMIX,RNGMIX-method RNGMIX,RNGMVNORM-method RNGMIX-methods show,RNGMIX-method show,RNGMVNORM-method
Class '"RNGMIX.Theta"'RNGMIX.Theta-class RNGMVNORM.Theta-class show,RNGMIX.Theta-method show,RNGMVNORM.Theta-method
Sensorless Drive Faults Detection Datasensorlessdrive
Splits Dataset into Train and Test Datasetssplit split,list-method split,numeric-method split-methods
Sum of Squares ErrorSSE SSE,REBMIX-method SSE,REBMVNORM-method SSE-methods
Steel Plates Faults Recognition Datasteelplates
Truck Datasettruck
Weibull Dataset 8.1weibull
Weibull-normal Simulated Datasetweibullnormal
Wine Recognition Datawine