Package: rebmix 2.17.2

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_2.17.2.tar.gz
rebmix_2.17.2.zip(r-4.7-x86_64)rebmix_2.17.2.zip(r-4.7-arm64)rebmix_2.17.2.zip(r-4.6-x86_64)rebmix_2.17.2.zip(r-4.6-arm64)rebmix_2.17.2.zip(r-4.5-x86_64)
rebmix_2.17.2.tgz(r-4.6-x86_64)rebmix_2.17.2.tgz(r-4.6-arm64)rebmix_2.17.2.tgz(r-4.5-x86_64)rebmix_2.17.2.tgz(r-4.5-arm64)
rebmix_2.17.2.tar.gz(r-4.7-arm64)rebmix_2.17.2.tar.gz(r-4.7-x86_64)rebmix_2.17.2.tar.gz(r-4.6-arm64)rebmix_2.17.2.tar.gz(r-4.6-x86_64)
rebmix_2.17.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
rebmix/json (API)

# Install 'rebmix' in R:

install.packages('rebmix', repos = c('https://nagodem.r-universe.dev', 'https://cloud.r-project.org'))

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

adult - Adult Dataset
bearings - Bearings Faults Detection Data
galaxy - Galaxy Dataset
iris - Iris Data Set
sensorlessdrive - Sensorless Drive Faults Detection Data
steelplates - Steel Plates Faults Recognition Data
truck - Truck Dataset
weibull - Weibull Dataset 8.1
weibullnormal - Weibull-normal Simulated Dataset
wine - Wine Recognition Data

On CRAN:

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

cpp

3.21 score 1 stars 54 scripts 576 downloads 1 mentions 143 exports 0 dependencies

Last updated from:6b9c29c591. Checks:15 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	134
linux-devel-x86_64	OK	170
source / vignettes	OK	312
linux-release-arm64	OK	143
linux-release-x86_64	OK	136
macos-release-arm64	OK	147
macos-release-x86_64	OK	436
macos-oldrel-arm64	OK	164
macos-oldrel-x86_64	OK	357
windows-devel-arm64	OK	383
windows-devel-x86_64	OK	152
windows-release-arm64	OK	368
windows-release-x86_64	OK	129
windows-oldrel-x86_64	OK	109
wasm-release	OK	106

Exports:a.acceleration a.acceleration.multiplier a.acceleration.multiplier<-a.acceleration<-a.Accuracy a.all.IC a.all.K a.ar a.B a.Bootstrap a.c a.c.cv a.c.mode a.c.prob a.c.se a.Chunks a.CM a.cmax a.Criterion a.d a.Dataset a.Dataset.name a.ED a.eliminate.zero.components a.eliminate.zero.components<-a.EN a.Error a.from a.h a.K a.K<-a.levels a.likelihood.estimation.rule a.likelihood.estimation.rule<-a.likelihood.tolerance.check a.likelihood.tolerance.check<-a.maximum.iterations a.maximum.iterations<-a.n a.ns a.ntest a.ntrain a.o a.opt.c a.opt.D a.opt.IC a.opt.logL a.p a.P a.pdf a.pi a.pos a.Precision a.Preprocessing a.prob a.replace a.Restraints a.rseed a.Rule a.s a.Sensitivity a.Specificity a.strategy a.strategy<-a.summary a.summary.EM a.tau a.test a.Theta a.Theta.cv a.Theta.se a.theta1 a.theta1.all a.theta1.all<-a.theta1<-a.theta2 a.theta2.all a.theta2.all<-a.theta2<-a.theta3 a.theta3.all a.theta3.all<-a.theta3<-a.to a.tolerance a.tolerance<-a.train a.Variables a.variant a.variant<-a.w a.w.cv a.w.se a.w<-a.Y a.Y<-a.y0 a.ymax a.ymin a.Zp a.Zr a.Zt AIC AIC3 AIC4 AICc AWE BFSMIX BIC bins boot CAIC chistogram chunk CLC demix dfmix EMMIX fhistogram HQC ICL ICLBIC kseq labelmoments logL mapclusters MDL2 MDL5 mergelabels optbins PC pemix pfmix plot PRD RCLRMIX RCLSMIX REBMIX RNGMIX show split SSE summary

Dependencies:

rebmix: The Rebmix Package

Introduction | What's new in version 2.17.2 | Previous versions | Examples | Summary

Rendered fromrebmix.Rnwusingutils::Sweave

Last update: 2026-08-20
Started: 2013-10-12

Citation

Readme and manuals

Help Manual

Help page	Topics
Adult Dataset	adult
Akaike Information Criterion	AIC 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 Criterion	AWE AWE,REBMIX-method AWE,REBMVNORM-method AWE-methods
Bearings Faults Detection Data	bearings
Predicts Class Membership Based Upon the Best First Search Algorithm	BFSMIX BFSMIX,RCLSMIX-method BFSMIX,RCLSMVNORM-method BFSMIX-methods
Bayesian Information Criterion	BIC BIC,REBMIX-method BIC,REBMVNORM-method BIC-methods
Binning of Data	bins bins,list-method bins-methods
Parametric or Nonparametric Bootstrap for Standard Error and Coefficient of Variation Estimation	boot 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 Calculation	chistogram chistogram,Histogram-method chistogram-methods
Extracts Chunk from Train and Test Datasets	chunk chunk,RCLS.chunk-method chunk-methods show,RCLS.chunk-method
Classification Likelihood Criterion	CLC CLC,REBMIX-method CLC,REBMVNORM-method CLC-methods
Empirical Density Calculation	demix demix,REBMIX-method demix,REBMVNORM-method demix-methods
Predictive Marginal Density Calculation	dfmix 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 Estimation	EMMIX 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 Calculation	fhistogram fhistogram,Histogram-method fhistogram-methods
Galaxy Dataset	galaxy
Class '"Histogram"'	Histogram-class
Hannan-Quinn Information Criterion	HQC HQC,REBMIX-method HQC,REBMVNORM-method HQC-methods
Integrated Classification Likelihood Criterion	ICL ICL,REBMIX-method ICL,REBMVNORM-method ICL-methods
Approximate Integrated Classification Likelihood Criterion	ICLBIC ICLBIC,REBMIX-method ICLBIC,REBMVNORM-method ICLBIC-methods
Iris Data Set	iris
Sequence of Bins or Nearest Neighbours Generation	kseq
Label Image Moments	labelmoments labelmoments,array-method labelmoments-methods
Log Likelihood	logL logL,REBMIX-method logL,REBMVNORM-method logL-methods
Map Clusters	mapclusters mapclusters,RCLRMIX-method mapclusters,RCLRMVNORM-method mapclusters-methods
Minimum Description Length	MDL2 MDL2,REBMIX-method MDL2,REBMVNORM-method MDL2-methods MDL5 MDL5,REBMIX-method MDL5,REBMVNORM-method MDL5-methods
Merge Labels Based on Probability Adjacency Matrix	mergelabels mergelabels,list-method mergelabels-methods
Optimal Numbers of Bins Calculation	optbins optbins,list-method optbins-methods
Partition Coefficient	PC PC,REBMIX-method PC,REBMVNORM-method PC-methods
Empirical Distribution Function Calculation	pemix pemix,REBMIX-method pemix,REBMVNORM-method pemix-methods
Predictive Marginal Distribution Function Calculation	pfmix pfmix,REBMIX-method pfmix,REBMVNORM-method pfmix-methods
Plots RNGMIX, REBMIX, RCLRMIX and RCLSMIX Output	plot,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 Deviations	PRD PRD,REBMIX-method PRD,REBMVNORM-method PRD-methods
Class '"RCLRMIX"'	RCLRMIX-class RCLRMVNORM-class
Predicts Cluster Membership Based Upon a Model Trained by REBMIX	RCLRMIX 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 REBMIX	RCLSMIX 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 Estimation	REBMIX 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 Generation	RNGMIX 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 Data	sensorlessdrive
Splits Dataset into Train and Test Datasets	split split,list-method split,numeric-method split-methods
Sum of Squares Error	SSE SSE,REBMIX-method SSE,REBMVNORM-method SSE-methods
Steel Plates Faults Recognition Data	steelplates
Truck Dataset	truck
Weibull Dataset 8.1	weibull
Weibull-normal Simulated Dataset	weibullnormal
Wine Recognition Data	wine

Package: rebmix 2.17.2

rebmix: Finite Mixture Modeling, Clustering & Classification

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)