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mixAK (version 3.0-1)

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

3.0-1

License

GPL (>= 2)

Maintainer

Arnošt Komárek

Last Published

February 8th, 2013

Functions in mixAK (3.0-1)

GLMM_MCMC

MCMC estimation of a (multivariate) generalized linear mixed model with a normal mixture in the distribution of random effects

NMixPredCondDensMarg

Univariate conditional predictive density

GLMM_MCMCinit.b

Handle init.b or init2.b argument of GLMM_MCMC function

TandmobEmer

Signal Tandmobiel data - emergence times

BsBasis

B-spline basis

summaryDiff

Posterior summary statistics for a difference of two quantities

plot.NMixPlugCondDensJoint2

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

NMixPredCDFMarg

Marginal (univariate) predictive cumulative distribution function

Faithful

Old Faithful Geyser Data

TMVN

Truncated multivariate normal distribution

Dirichlet

Dirichlet distribution

Acidity

Acidity index of lakes in North-Central Wisconsin

GLMM_MCMCifit

Initial (RE)ML fits for the GLMM_MCMC function

MVT

Multivariate Student t distribution

NMixPlugCondDensMarg

Univariate conditional densities: plug-in estimate

plot.NMixPlugCondDensMarg

Plot computed univariate conditional densities (plug-in estimate)

tracePlots

Traceplots for selected parameters

fitted.GLMM_MCMC

Fitted profiles in the GLMM model

NMixMCMCwrapper

Wrapper to the NMixMCMC main simulation.

TNorm

Truncated normal distribution

NMixRelabelAlgorithm

Argument manipulation for the NMixRelabel functions

NMixPlugDensJoint2

Pairwise bivariate densities: plug-in estimate

NMixPlugDA

Discriminant analysis based on plug-in estimates from the mixture model

generatePermutations

Generate all permutations of (1, ..., K)

NMixSummComp

Summary for the mixture components

GLMM_MCMCinit.eps

Handle init.eps or init2.eps argument of GLMM_MCMC function

GLMM_MCMCinit.alpha

Handle init.alpha or init2.alpha argument of GLMM_MCMC function

NMixEM

EM algorithm for a homoscedastic normal mixture

NMixMCMCinity

Initial values of censored observations for the NMixMCMC function

NMixMCMCinitr

Initial component allocations for the NMixMCMC function

NMixRelabel

Re-labeling the MCMC output of the mixture model

Wishart

Wishart distribution

Tandmob

Signal Tandmobiel data

plot.NMixPredCondDensMarg

Plot computed univariate conditional predictive densities

Y2T

Transform fitted distribution of Y=trans(T) into distribution of T

plot.NMixPredCondDensJoint2

Plot computed predictive pairwise bivariate conditional densities

Galaxy

Velocities of distant galaxies

MatSqrt

Square root of a matrix

NMixMCMCdata

Data manipulation for the NMixMCMC function

GLMM_MCMCprior.eps

Handle prior.eps argument of GLMM_MCMC function

NMixPredDensJoint2

Pairwise bivariate predictive density

cbplot

Plot a function together with its confidence/credible bands

NMixChainsDerived

Create MCMC chains derived from previously sampled values

GLMM_longitDA

Discriminant analysis for longitudinal profiles based on fitted GLMM's

GLMM_MCMCprior.b

Handle prior.eps argument of GLMM_MCMC function

plot.NMixPredCDFMarg

Plot computed marginal predictive cumulative distribution functions

NMixPlugDensMarg

Marginal (univariate) densities: plug-in estimate

NMixPredCondCDFMarg

Univariate conditional predictive cumulative distribution function

SP2Rect

Conversion of a symmetric matrix stored in a packed format (lower triangle only) into a matrix

plotProfiles

Plot individual longitudinal profiles

autolayout

Automatic layout for several plots in one figure

GLMM_MCMCprior.alpha

Handle prior.alpha argument of GLMM_MCMC function

getProfiles

Individual longitudinal profiles of a given variable

NMixPredCondDensJoint2

Pairwise bivariate conditional predictive densities

plot.NMixPredDensJoint2

Plot computed marginal pairwise bivariate predictive densities

NMixPseudoGOF

Pseudo goodness-of-fit test for a normal mixture model

plot.NMixPlugDensMarg

Plot computed marginal predictive densities

GLMM_MCMCdata

Data manipulation for the GLMM_MCMC function

MVN

Multivariate normal distribution

MatMPpinv

Moore-Penrose pseudoinverse of a squared matrix

NMixMCMC

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

NMixPredDensMarg

Marginal (univariate) predictive density

NMixPlugCondDensJoint2

Pairwise bivariate conditional densities: plug-in estimate

plot.NMixPlugDensJoint2

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

rRotationMatrix

Random rotation matrix

plot.NMixPredCondCDFMarg

Plot computed univariate conditional predictive cumulative distribution functions

plot.NMixPredDensMarg

Plot computed marginal predictive densities

rSamplePair

Sample a pair (with replacement)

BLA

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

Enzyme

Enzymatic activity in the blood

GLMM_MCMCscale.b

Handle scale.b argument of GLMM_MCMC function

GLMM_MCMCwrapper

Wrapper to the GLMM_MCMC main simulation.

PBCseq

Mayo Clinic Primary Biliary Cirrhosis, sequential data

NMixPredDA

Discriminant analysis based on MCMC output from the mixture model

MVNmixture

Mixture of (multivariate) normal distributions