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mixAK (version 2.6)

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

2.6

License

GPL (>= 2)

Maintainer

Arnošt Komárek

Last Published

September 25th, 2012

Functions in mixAK (2.6)

GLMM_MCMCinit.eps

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

MatSqrt

Square root of a matrix

GLMM_MCMCscale.b

Handle scale.b argument of GLMM_MCMC function

NMixPlugDensJoint2

Pairwise bivariate densities: plug-in estimate

Wishart

Wishart distribution

MVT

Multivariate Student t distribution

GLMM_MCMCwrapper

Wrapper to the GLMM_MCMC main simulation.

GLMM_MCMC

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

MVN

Multivariate normal distribution

NMixPredCondCDFMarg

Univariate conditional predictive cumulative distribution function

MVNmixture

Mixture of (multivariate) normal distributions

GLMM_longitDA

Discriminant analysis for longitudinal profiles based on fitted GLMM's

NMixSummComp

Summary for the mixture components

plotProfiles

Plot individual longitudinal profiles

plot.NMixPlugCondDensMarg

Plot computed univariate conditional densities (plug-in estimate)

GLMM_MCMCdata

Data manipulation for the GLMM_MCMC function

generatePermutations

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

NMixPredCondDensJoint2

Pairwise bivariate conditional predictive densities

NMixPredDensMarg

Marginal (univariate) predictive density

Faithful

Old Faithful Geyser Data

plot.NMixPlugDensJoint2

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

NMixPredCDFMarg

Marginal (univariate) predictive cumulative distribution function

GLMM_MCMCifit

Initial (RE)ML fits for the GLMM_MCMC function

NMixMCMC

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

plot.NMixPredDensMarg

Plot computed marginal predictive densities

NMixPredCondDensMarg

Univariate conditional predictive density

GLMM_MCMCprior.alpha

Handle prior.alpha argument of GLMM_MCMC function

SP2Rect

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

tracePlots

Traceplots for selected parameters

GLMM_MCMCprior.eps

Handle prior.eps argument of GLMM_MCMC function

BLA

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

rSamplePair

Sample a pair (with replacement)

fitted.GLMM_MCMC

Fitted profiles in the GLMM model

Acidity

Acidity index of lakes in North-Central Wisconsin

summaryDiff

Posterior summary statistics for a difference of two quantities

GLMM_MCMCinit.b

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

PBCseq

Mayo Clinic Primary Biliary Cirrhosis, sequential data

Galaxy

Velocities of distant galaxies

NMixRelabel

Re-labeling the MCMC output of the mixture model

getProfiles

Individual longitudinal profiles of a given variable

plot.NMixPredCondDensMarg

Plot computed univariate conditional predictive densities

Dirichlet

Dirichlet distribution

NMixPlugDA

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

Enzyme

Enzymatic activity in the blood

Y2T

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

Tandmob

Signal Tandmobiel data

plot.NMixPredDensJoint2

Plot computed marginal pairwise bivariate predictive densities

rRotationMatrix

Random rotation matrix

NMixChainsDerived

Create MCMC chains derived from previously sampled values

NMixPlugCondDensMarg

Univariate conditional densities: plug-in estimate

NMixMCMCdata

Data manipulation for the NMixMCMC function

MatMPpinv

Moore-Penrose pseudoinverse of a squared matrix

cbplot

Plot a function together with its confidence/credible bands

NMixPlugCondDensJoint2

Pairwise bivariate conditional densities: plug-in estimate

NMixRelabelAlgorithm

Argument manipulation for the NMixRelabel functions

BsBasis

B-spline basis

NMixEM

EM algorithm for a homoscedastic normal mixture

GLMM_MCMCprior.b

Handle prior.eps argument of GLMM_MCMC function

NMixPlugDensMarg

Marginal (univariate) densities: plug-in estimate

GLMM_MCMCinit.alpha

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

plot.NMixPlugCondDensJoint2

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

NMixMCMCinity

Initial values of censored observations for the NMixMCMC function

NMixMCMCinitr

Initial component allocations for the NMixMCMC function

TMVN

Truncated multivariate normal distribution

plot.NMixPlugDensMarg

Plot computed marginal predictive densities

plot.NMixPredCondDensJoint2

Plot computed predictive pairwise bivariate conditional densities

NMixMCMCwrapper

Wrapper to the NMixMCMC main simulation.

NMixPredDA

Discriminant analysis based on MCMC output from the mixture model

NMixPseudoGOF

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

plot.NMixPredCondCDFMarg

Plot computed univariate conditional predictive cumulative distribution functions

TNorm

Truncated normal distribution

autolayout

Automatic layout for several plots in one figure

NMixPredDensJoint2

Pairwise bivariate predictive density

plot.NMixPredCDFMarg

Plot computed marginal predictive cumulative distribution functions

TandmobEmer

Signal Tandmobiel data - emergence times