Learn R Programming

⚠️There's a newer version (2.16.0) of this package.Take me there.

rebmix (version 2.15.0)

Finite Mixture Modeling, Clustering & Classification

Description

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.

Copy Link

Version

Install

install.packages('rebmix')

Monthly Downloads

421

Version

2.15.0

License

GPL (>= 2)

Maintainer

Marko Nagode

Last Published

July 16th, 2023

Functions in rebmix (2.15.0)

BIC-methods

Bayesian Information Criterion
EMMIX.Theta-class

Class "EMMIX.Theta"
Histogram-class

Class "Histogram"
PC-methods

Partition Coefficient
RCLSMIX-class

Class "RCLSMIX"
chunk-methods

Extracts Chunk from Train and Test Datasets
MDL-methods

Minimum Description Length
RCLRMIX-methods

Predicts Cluster Membership Based Upon a Model Trained by REBMIX
ICL-methods

Integrated Classification Likelihood Criterion
RCLS.chunk-class

Class "RCLS.chunk"
ICLBIC-methods

Approximate Integrated Classification Likelihood Criterion
RCLRMIX-class

Class "RCLRMIX"
PRD-methods

Total of Positive Relative Deviations
boot-methods

Parametric or Nonparametric Bootstrap for Standard Error and Coefficient of Variation Estimation
plot-methods

Plots RNGMIX, REBMIX, RCLRMIX and RCLSMIX Output
RNGMIX-class

Class "RNGMIX"
RCLSMIX-methods

Predicts Class Membership Based Upon a Model Trained by REBMIX
RNGMIX-methods

Random Univariate or Multivariate Finite Mixture Generation
REBMIX-class

Class "REBMIX"
RNGMIX.Theta-class

Class "RNGMIX.Theta"
SSE-methods

Sum of Squares Error
REBMIX-methods

REBMIX Algorithm for Univariate or Multivariate Finite Mixture Estimation
REBMIX.boot-class

Class "REBMIX.boot"
iris

Iris Data Set
adult

Adult Dataset
kseq

Sequence of Bins or Nearest Neighbours Generation
bins-methods

Binning of Data
galaxy

Galaxy Dataset
fhistogram-methods

Fast Histogram Calculation
bearings

Bearings Faults Detection Data
chistogram-methods

Compact Histogram Calculation
logL

Log Likelihood
labelmoments-methods

Label Image Moments
sensorlessdrive

Sensorless Drive Faults Detection Data
weibull

Weibull Dataset 8.1
optbins-methods

Optimal Numbers of Bins Calculation
mapclusters-methods

Map Clusters
demix-methods

Empirical Density Calculation
weibullnormal

Weibull-normal Simulated Dataset
dfmix-methods

Predictive Marginal Density Calculation
pemix-methods

Empirical Distribution Function Calculation
split-methods

Splits Dataset into Train and Test Datasets
steelplates

Steel Plates Faults Recognition Data
truck

Truck Dataset
pfmix-methods

Predictive Marginal Distribution Function Calculation
wine

Wine Recognition Data
mergelabels-methods

Merge Labels Based on Probability Adjacency Matrix
rebmix-internal

Internal rebmix Functions, Methods and Classes
AIC-methods

Akaike Information Criterion
CLC-methods

Classification Likelihood Criterion
BFSMIX-methods

Predicts Class Membership Based Upon the Best First Search Algorithm
EMMIX-methods

EM Algorithm for Univariate or Multivariate Finite Mixture Estimation
HQC-methods

Hannan-Quinn Information Criterion
AWE-methods

Approximate Weight of Evidence Criterion
EM.Control-class

Class "EM.Control"