Akaike Information Criterion
Hannan-Quinn Information Criterion
Predicts Class Membership Based Upon the Best First Search Algorithm
Classification Likelihood Criterion
Integrated Classification Likelihood Criterion
Class "EM.Control"
Approximate Weight of Evidence Criterion
Approximate Integrated Classification Likelihood Criterion
Bayesian Information Criterion
Minimum Description Length
Class "RCLRMIX"
Predicts Cluster Membership Based Upon a Model Trained by REBMIX
Partition Coefficient
Total of Positive Relative Deviations
Class "RCLSMIX"
Optimal Numbers of Bins Calculation
Empirical Density Calculation
Log Likelihood
Class "REBMIX"
Binning of Data
Sum of Squares Error
Class "RCLS.chunk"
Weibull Dataset 8.1
Predicts Class Membership Based Upon a Model Trained by REBMIX
Parametric or Nonparametric Bootstrap for Standard Error and Coefficient of Variation Estimation
Truck Dataset
Adult Dataset
Galaxy Dataset
Class "REBMIX.boot"
Plots RNGMIX, REBMIX, RCLRMIX and RCLSMIX Output
Predictive Marginal Density Calculation
Extracts Chunk from Train and Test Datasets
Random Univariate or Multivariate Finite Mixture Generation
Internal rebmix Functions
REBMIX Algorithm for Univariate or Multivariate Finite Mixture Estimation
Class "RNGMIX"
Predictive Marginal Distribution Function Calculation
Empirical Distribution Function Calculation
Splits Dataset into Train and Test Datasets
Wine Recognition Data
Weibull-normal Simulated Dataset
Sequence of Bins or Nearest Neighbours Generation
Iris Data Set
Class "RNGMIX.Theta"