AIC,ANY-method

AIC3,ANY-method

AIC4,ANY-method

AICc,ANY-method

CAIC,ANY-method

AWE,ANY-method

BIC,ANY-method

CLC,ANY-method

HQC,ANY-method

ICL,ANY-method

ICLBIC,ANY-method

logL,ANY-method

MDL2,ANY-method

MDL5,ANY-method

PC,ANY-method

PRD,ANY-method

SSE,ANY-method

REBMIX,ANY-method

RNGMIX,ANY-method

RCLRMIX,ANY-method

RCLSMIX,ANY-method

BFSMIX,ANY-method

EMMIX,ANY-method

fhistogram,ANY-method

chistogram,ANY-method

mapclusters,ANY-method

labelmoments,ANY-method

mergelabels,ANY-method

a.theta1&lt;-

a.theta2&lt;-

a.theta3&lt;-

a.c,RNGMIX.Theta-method

a.d,RNGMIX.Theta-method

a.pdf,RNGMIX.Theta-method

a.Theta,RNGMIX.Theta-method

a.theta1&lt;-,RNGMIX.Theta,ANY-method

a.theta2&lt;-,RNGMIX.Theta,ANY-method

a.theta3&lt;-,RNGMIX.Theta,ANY-method

a.theta1&lt;-,RNGMIX.Theta,missing-method

a.theta2&lt;-,RNGMIX.Theta,missing-method

a.theta3&lt;-,RNGMIX.Theta,missing-method

a.c,RNGMVNORM.Theta-method

a.d,RNGMVNORM.Theta-method

a.pdf,RNGMVNORM.Theta-method

a.Theta,RNGMVNORM.Theta-method

a.theta1&lt;-,RNGMVNORM.Theta,ANY-method

a.theta2&lt;-,RNGMVNORM.Theta,ANY-method

a.theta1.all&lt;-,RNGMIX.Theta-method

a.theta2.all&lt;-,RNGMIX.Theta-method

a.theta3.all&lt;-,RNGMIX.Theta-method

a.theta1.all&lt;-,RNGMVNORM.Theta-method

a.theta2.all&lt;-,RNGMVNORM.Theta-method

a.Dataset.name

a.rseed

a.Theta

a.Dataset

a.Zt

a.Variables

a.ymin

a.ymax

a.Dataset.name,RNGMIX-method

a.rseed,RNGMIX-method

a.n,RNGMIX-method

a.Theta,RNGMIX-method

a.Dataset,RNGMIX-method

a.Zt,RNGMIX-method

a.w,RNGMIX-method

a.Variables,RNGMIX-method

a.ymin,RNGMIX-method

a.ymax,RNGMIX-method

a.Dataset.name,RNGMVNORM-method

a.rseed,RNGMVNORM-method

a.n,RNGMVNORM-method

a.Theta,RNGMVNORM-method

a.Dataset,RNGMVNORM-method

a.Zt,RNGMVNORM-method

a.w,RNGMVNORM-method

a.Variables,RNGMVNORM-method

a.ymin,RNGMVNORM-method

a.ymax,RNGMVNORM-method

a.Preprocessing

a.cmax

a.cmin

a.Criterion

a.pdf

a.theta1

a.theta2

a.theta3

a.theta1.all

a.theta2.all

a.theta3.all

a.theta1.all&lt;-

a.theta2.all&lt;-

a.theta3.all&lt;-

a.y0

a.ar

<p>Internal rebmix functions, methods and classes.</p>

internal

rebmix-internal

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, uniform or circular von Mises parametric families.

rebmix-internal: Internal rebmix Functions, Methods and Classes

Description

Arguments

Details