Finite Mixture Modeling, Clustering & Classification

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Documentation for package ‘rebmix’ version 2.16.0

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A B C D E F G H I K L M O P R S T W

-- A --

adult Adult Dataset
AIC Akaike Information Criterion
AIC-method Akaike Information Criterion
AIC-methods Akaike Information Criterion
AIC3 Akaike Information Criterion
AIC3-method Akaike Information Criterion
AIC3-methods Akaike Information Criterion
AIC4 Akaike Information Criterion
AIC4-method Akaike Information Criterion
AIC4-methods Akaike Information Criterion
AICc Akaike Information Criterion
AICc-method Akaike Information Criterion
AICc-methods Akaike Information Criterion
AWE Approximate Weight of Evidence Criterion
AWE-method Approximate Weight of Evidence Criterion
AWE-methods Approximate Weight of Evidence Criterion

-- B --

bearings Bearings Faults Detection Data
BFSMIX Predicts Class Membership Based Upon the Best First Search Algorithm
BFSMIX-method Predicts Class Membership Based Upon the Best First Search Algorithm
BFSMIX-methods Predicts Class Membership Based Upon the Best First Search Algorithm
BIC Bayesian Information Criterion
BIC-method Bayesian Information Criterion
BIC-methods Bayesian Information Criterion
bins Binning of Data
bins-method Binning of Data
bins-methods Binning of Data
boot Parametric or Nonparametric Bootstrap for Standard Error and Coefficient of Variation Estimation
boot-method Parametric or Nonparametric Bootstrap for Standard Error and Coefficient of Variation Estimation
boot-methods Parametric or Nonparametric Bootstrap for Standard Error and Coefficient of Variation Estimation

-- C --

CAIC Akaike Information Criterion
CAIC-method Akaike Information Criterion
CAIC-methods Akaike Information Criterion
chistogram Compact Histogram Calculation
chistogram-method Compact Histogram Calculation
chistogram-methods Compact Histogram Calculation
chunk Extracts Chunk from Train and Test Datasets
chunk-method Extracts Chunk from Train and Test Datasets
chunk-methods Extracts Chunk from Train and Test Datasets
CLC Classification Likelihood Criterion
CLC-method Classification Likelihood Criterion
CLC-methods Classification Likelihood Criterion

-- D --

demix Empirical Density Calculation
demix-method Empirical Density Calculation
demix-methods Empirical Density Calculation
dfmix Predictive Marginal Density Calculation
dfmix-method Predictive Marginal Density Calculation
dfmix-methods Predictive Marginal Density Calculation

-- E --

EM.Control-class Class '"EM.Control"'
EMMIX EM Algorithm for Univariate or Multivariate Finite Mixture Estimation
EMMIX-method EM Algorithm for Univariate or Multivariate Finite Mixture Estimation
EMMIX-methods EM Algorithm for Univariate or Multivariate Finite Mixture Estimation
EMMIX.Theta-class Class '"EMMIX.Theta"'
EMMVNORM.Theta-class Class '"EMMIX.Theta"'

-- F --

fhistogram Fast Histogram Calculation
fhistogram-method Fast Histogram Calculation
fhistogram-methods Fast Histogram Calculation

-- G --

galaxy Galaxy Dataset

-- H --

Histogram-class Class '"Histogram"'
HQC Hannan-Quinn Information Criterion
HQC-method Hannan-Quinn Information Criterion
HQC-methods Hannan-Quinn Information Criterion

-- I --

ICL Integrated Classification Likelihood Criterion
ICL-method Integrated Classification Likelihood Criterion
ICL-methods Integrated Classification Likelihood Criterion
ICLBIC Approximate Integrated Classification Likelihood Criterion
ICLBIC-method Approximate Integrated Classification Likelihood Criterion
ICLBIC-methods Approximate Integrated Classification Likelihood Criterion
iris Iris Data Set

-- K --

kseq Sequence of Bins or Nearest Neighbours Generation

-- L --

labelmoments Label Image Moments
labelmoments-method Label Image Moments
labelmoments-methods Label Image Moments
logL Log Likelihood
logL-method Log Likelihood
logL-methods Log Likelihood

-- M --

mapclusters Map Clusters
mapclusters-method Map Clusters
mapclusters-methods Map Clusters
MDL2 Minimum Description Length
MDL2-method Minimum Description Length
MDL2-methods Minimum Description Length
MDL5 Minimum Description Length
MDL5-method Minimum Description Length
MDL5-methods Minimum Description Length
mergelabels Merge Labels Based on Probability Adjacency Matrix
mergelabels-method Merge Labels Based on Probability Adjacency Matrix
mergelabels-methods Merge Labels Based on Probability Adjacency Matrix

-- O --

optbins Optimal Numbers of Bins Calculation
optbins-method Optimal Numbers of Bins Calculation
optbins-methods Optimal Numbers of Bins Calculation

-- P --

PC Partition Coefficient
PC-method Partition Coefficient
PC-methods Partition Coefficient
pemix Empirical Distribution Function Calculation
pemix-method Empirical Distribution Function Calculation
pemix-methods Empirical Distribution Function Calculation
pfmix Predictive Marginal Distribution Function Calculation
pfmix-method Predictive Marginal Distribution Function Calculation
pfmix-methods Predictive Marginal Distribution Function Calculation
plot-method Plots RNGMIX, REBMIX, RCLRMIX and RCLSMIX Output
plot-methods Plots RNGMIX, REBMIX, RCLRMIX and RCLSMIX Output
PRD Total of Positive Relative Deviations
PRD-method Total of Positive Relative Deviations
PRD-methods Total of Positive Relative Deviations

-- R --

RCLRMIX Predicts Cluster Membership Based Upon a Model Trained by REBMIX
RCLRMIX-class Class '"RCLRMIX"'
RCLRMIX-method Predicts Cluster Membership Based Upon a Model Trained by REBMIX
RCLRMIX-methods Predicts Cluster Membership Based Upon a Model Trained by REBMIX
RCLRMVNORM-class Class '"RCLRMIX"'
RCLS.chunk-class Class '"RCLS.chunk"'
RCLSMIX Predicts Class Membership Based Upon a Model Trained by REBMIX
RCLSMIX-class Class '"RCLSMIX"'
RCLSMIX-method Predicts Class Membership Based Upon a Model Trained by REBMIX
RCLSMIX-methods Predicts Class Membership Based Upon a Model Trained by REBMIX
RCLSMVNORM-class Class '"RCLSMIX"'
REBMIX REBMIX Algorithm for Univariate or Multivariate Finite Mixture Estimation
REBMIX-class Class '"REBMIX"'
REBMIX-method REBMIX Algorithm for Univariate or Multivariate Finite Mixture Estimation
REBMIX-methods REBMIX Algorithm for Univariate or Multivariate Finite Mixture Estimation
REBMIX.boot-class Class '"REBMIX.boot"'
REBMVNORM-class Class '"REBMIX"'
REBMVNORM.boot-class Class '"REBMIX.boot"'
RNGMIX Random Univariate or Multivariate Finite Mixture Generation
RNGMIX-class Class '"RNGMIX"'
RNGMIX-method Random Univariate or Multivariate Finite Mixture Generation
RNGMIX-methods Random Univariate or Multivariate Finite Mixture Generation
RNGMIX.Theta-class Class '"RNGMIX.Theta"'
RNGMVNORM-class Class '"RNGMIX"'
RNGMVNORM.Theta-class Class '"RNGMIX.Theta"'

-- S --

sensorlessdrive Sensorless Drive Faults Detection Data
show-method Class '"EM.Control"'
show-method Class '"EMMIX.Theta"'
show-method Predicts Cluster Membership Based Upon a Model Trained by REBMIX
show-method Extracts Chunk from Train and Test Datasets
show-method Predicts Class Membership Based Upon a Model Trained by REBMIX
show-method REBMIX Algorithm for Univariate or Multivariate Finite Mixture Estimation
show-method Parametric or Nonparametric Bootstrap for Standard Error and Coefficient of Variation Estimation
show-method Random Univariate or Multivariate Finite Mixture Generation
show-method Class '"RNGMIX.Theta"'
split Splits Dataset into Train and Test Datasets
split-method Splits Dataset into Train and Test Datasets
split-methods Splits Dataset into Train and Test Datasets
SSE Sum of Squares Error
SSE-method Sum of Squares Error
SSE-methods Sum of Squares Error
steelplates Steel Plates Faults Recognition Data
summary-method Predicts Cluster Membership Based Upon a Model Trained by REBMIX
summary-method Predicts Class Membership Based Upon a Model Trained by REBMIX
summary-method REBMIX Algorithm for Univariate or Multivariate Finite Mixture Estimation
summary-method Parametric or Nonparametric Bootstrap for Standard Error and Coefficient of Variation Estimation

-- T --

truck Truck Dataset

-- W --

weibull Weibull Dataset 8.1
weibullnormal Weibull-normal Simulated Dataset
wine Wine Recognition Data