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 |