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mixAK (version 0.5)

Mixture of methods including mixtures

Description

This package contains a mixture of statistical methods including the MCMC methods to analyze normal mixtures

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Version

Install

install.packages('mixAK')

Monthly Downloads

326

Version

0.5

License

GPL (>= 2)

Maintainer

Arnošt Komárek

Last Published

August 13th, 2009

Functions in mixAK (0.5)

plot.NMixPredCondDensMarg

Plot computed univariate conditional predictive densities
plot.NMixPlugCondDensJoint2

Plot computed pairwise bivariate conditional densities (plug-in estimate)
NMixPlugDensJoint2

Pairwise bivariate densities: plug-in estimate
plot.NMixPlugCondDensMarg

Plot computed univariate conditional densities (plug-in estimate)
plot.NMixPredDensJoint2

Plot computed marginal pairwise bivariate predictive densities
rRotationMatrix

Random rotation matrix
GLMM_MCMCprior.eps

Handle prior.eps argument of GLMM_MCMC function
GLMM_MCMCprior.beta

Handle prior.beta argument of GLMM_MCMC function
Galaxy

Velocities of distant galaxies
Enzyme

Enzymatic activity in the blood
NMixClust

Clustering based on a mixture model
NMixPlugDensMarg

Marginal (univariate) densities: plug-in estimate
NMixMCMCwrapper

Wrapper to the NMixMCMC main simulation.
NMixMCMC

MCMC estimation of (multivariate) normal mixtures with possibly censored data.
NMixPredCondDensJoint2

Pairwise bivariate conditional predictive densities
TNorm

Truncated normal distribution
NMixPredCondDensMarg

Univariate conditional predictive density
GLMM_MCMCifit

Initial (RE)ML fits for the GLMM_MCMC function
GLMM_MCMC

MCMC estimation of generalized linear mixed model with mixtures in the distributions.
plot.NMixPredDensMarg

Plot computed marginal predictive densities
plot.NMixPredCDFMarg

Plot computed marginal predictive cumulative distribution functions
plot.NMixPlugDensJoint2

Plot computed marginal pairwise bivariate densities (plug-in estimate)
GLMM_MCMCprior.b

Handle prior.eps argument of GLMM_MCMC function
plot.NMixPredCondDensJoint2

Plot computed predictive pairwise bivariate conditional densities
MatSqrt

Square root of a matrix
Faithful

Old Faithful Geyser Data
NMixPlugCondDensMarg

Univariate conditional densities: plug-in estimate
NMixPredDensJoint2

Pairwise bivariate predictive density
GLMM_MCMCdata

Data manipulation for the GLMM_MCMC function
GLMM_MCMCscale.b

Handle scale.b argument of GLMM_MCMC function
NMixPlugCondDensJoint2

Pairwise bivariate conditional densities: plug-in estimate
NMixPredCDFMarg

Marginal (univariate) predictive cumulative distribution function
autolayout

Automatic layout for several plots in one figure
rSamplePair

Sample a pair (with replacement)
MatMPpinv

Moore-Penrose pseudoinverse of a squared matrix
NMixChainsDerived

Create MCMC chains derived from previously sampled values
TMVN

Truncated multivariate normal distribution
Tandmob

Signal Tandmobiel data
Dirichlet

Dirichlet distribution
GLMM_longitClust

Clustering of longitudinal profiles based on fitted GLMM's
NMixPredDensMarg

Marginal (univariate) predictive density
TandmobEmer

Signal Tandmobiel data - emergence times
Acidity

Acidity index of lakes in North-Central Wisconsin
BLA

Best linear approximation with respect to the mean square error (theoretical linear regression).
MVN

Multivariate normal distribution
Y2T

Transform fitted distribution of Y=log(T) into distribution of T
MVNmixture

Mixture of (multivariate) normal distributions
Wishart

Wishart distribution
plot.NMixPlugDensMarg

Plot computed marginal predictive densities
NMixSummComp

Summary for the mixture components
SP2Rect

Creation of a rectangular symmetric matrix from its lower triangle (symmetric packed format)