| adult | Adult Dataset |
| AIC | Akaike Information Criterion |
| AIC3 | Akaike Information Criterion |
| AIC4 | Akaike Information Criterion |
| AICc | Akaike Information Criterion |
| AWE | Approximate Weight of Evidence Criterion |
| BIC | Bayesian Information Criterion |
| boot.REBMIX | Parametric or Nonparametric Bootstrap for Standard Error and Coefficient of Variation Estimation |
| CAIC | Akaike Information Criterion |
| CLC | Classification Likelihood Criterion |
| coef.REBMIX | Prints Univariate or Multivariate REBMIX Coefficients |
| demix | Empirical Density Calculation |
| dfmix | Predictive Density Calculation |
| galaxy | Galaxy Dataset |
| HQC | Hannan-Quinn Information Criterion |
| ICL | Integrated Classification Likelihood Criterion |
| ICLBIC | Approximate Integrated Classification Likelihood Criterion |
| kseq | Sequence of Bins or Nearest Neighbours Generation |
| logL | Log Likelihood |
| MDL2 | Minimum Description Length |
| MDL5 | Minimum Description Length |
| PC | Partition Coefficient |
| pemix | Empirical Distribution Function Calculation |
| pfmix | Predictive Distribution Function Calculation |
| plot.REBMIX | Plots Univariate or Multivariate REBMIX Output |
| PRD | Total of Positive Relative Deviations |
| print.boot.REBMIX | Prints Univariate or Multivariate boot.REBMIX Output |
| print.REBMIX | Prints Univariate or Multivariate REBMIX Output |
| print.RNGMIX | Prints Univariate or Multivariate RNGMIX Output |
| RCLSMIX | Predicts Class Membership Based Upon a Model Trained by REBMIX |
| REBMIX | REBMIX Algorithm for Univariate or Multivariate Finite Mixture Estimation |
| RNGMIX | Random Univariate or Multivariate Finite Mixture Generation |
| SSE | Sum of Squares Error |
| summary.boot.REBMIX | Prints Univariate or Multivariate boot.REBMIX Summary |
| summary.REBMIX | Prints Univariate or Multivariate REBMIX Summary |
| truck | Truck Dataset |
| weibull | Weibull Dataset 8.1 |
| weibullnormal | Weibull-normal Simulated Dataset |
| wine | Wine Recognition Data |