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rebmix (version 2.12.0)

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 or circular von Mises parametric families.

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Version

Install

install.packages('rebmix')

Monthly Downloads

421

Version

2.12.0

License

GPL (>= 2)

Maintainer

Marko Nagode

Last Published

June 8th, 2020

Functions in rebmix (2.12.0)

AIC-methods

Akaike Information Criterion
HQC-methods

Hannan-Quinn Information Criterion
BFSMIX-methods

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

Classification Likelihood Criterion
ICL-methods

Integrated Classification Likelihood Criterion
EM.Control-class

Class "EM.Control"
AWE-methods

Approximate Weight of Evidence Criterion
ICLBIC-methods

Approximate Integrated Classification Likelihood Criterion
BIC-methods

Bayesian Information Criterion
MDL-methods

Minimum Description Length
RCLRMIX-class

Class "RCLRMIX"
RCLRMIX-methods

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

Partition Coefficient
PRD-methods

Total of Positive Relative Deviations
RCLSMIX-class

Class "RCLSMIX"
optbins-methods

Optimal Numbers of Bins Calculation
demix-methods

Empirical Density Calculation
logL

Log Likelihood
REBMIX-class

Class "REBMIX"
bins-methods

Binning of Data
SSE-methods

Sum of Squares Error
RCLS.chunk-class

Class "RCLS.chunk"
weibull

Weibull Dataset 8.1
RCLSMIX-methods

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

Parametric or Nonparametric Bootstrap for Standard Error and Coefficient of Variation Estimation
truck

Truck Dataset
adult

Adult Dataset
galaxy

Galaxy Dataset
REBMIX.boot-class

Class "REBMIX.boot"
plot-methods

Plots RNGMIX, REBMIX, RCLRMIX and RCLSMIX Output
dfmix-methods

Predictive Marginal Density Calculation
chunk-methods

Extracts Chunk from Train and Test Datasets
RNGMIX-methods

Random Univariate or Multivariate Finite Mixture Generation
rebmix-internal

Internal rebmix Functions
REBMIX-methods

REBMIX Algorithm for Univariate or Multivariate Finite Mixture Estimation
RNGMIX-class

Class "RNGMIX"
pfmix-methods

Predictive Marginal Distribution Function Calculation
pemix-methods

Empirical Distribution Function Calculation
split-methods

Splits Dataset into Train and Test Datasets
wine

Wine Recognition Data
weibullnormal

Weibull-normal Simulated Dataset
kseq

Sequence of Bins or Nearest Neighbours Generation
iris

Iris Data Set
RNGMIX.Theta-class

Class "RNGMIX.Theta"