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mixAK (version 2.2)
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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Install
install.packages('mixAK')
Monthly Downloads
644
Version
2.2
License
GPL (>= 2)
Maintainer
Arnošt Komárek
Last Published
December 20th, 2011
Functions in mixAK (2.2)
Search all functions
GLMM_MCMCinit.alpha
Handle init.alpha or init2.alpha argument of GLMM_MCMC function
NMixPredCondDensMarg
Univariate conditional predictive density
NMixRelabelAlgorithm
Argument manipulation for the NMixRelabel functions
NMixMCMCwrapper
Wrapper to the NMixMCMC main simulation.
summaryDiff
Posterior summary statistics for a difference of two quantities
Enzyme
Enzymatic activity in the blood
GLMM_MCMCprior.alpha
Handle prior.alpha argument of GLMM_MCMC function
NMixChainsDerived
Create MCMC chains derived from previously sampled values
plot.NMixPredCDFMarg
Plot computed marginal predictive cumulative distribution functions
GLMM_longitDA
Discriminant analysis for longitudinal profiles based on fitted GLMM's
NMixSummComp
Summary for the mixture components
NMixPlugDensJoint2
Pairwise bivariate densities: plug-in estimate
GLMM_MCMCprior.eps
Handle prior.eps argument of GLMM_MCMC function
Galaxy
Velocities of distant galaxies
GLMM_MCMC
MCMC estimation of a (multivariate) generalized linear mixed model with a normal mixture in the distribution of random effects
NMixPredDensMarg
Marginal (univariate) predictive density
plot.NMixPlugCondDensMarg
Plot computed univariate conditional densities (plug-in estimate)
BLA
Best linear approximation with respect to the mean square error (theoretical linear regression).
Dirichlet
Dirichlet distribution
plot.NMixPredCondDensMarg
Plot computed univariate conditional predictive densities
NMixPlugCondDensJoint2
Pairwise bivariate conditional densities: plug-in estimate
MatSqrt
Square root of a matrix
NMixEM
EM algorithm for a homoscedastic normal mixture
MVNmixture
Mixture of (multivariate) normal distributions
TMVN
Truncated multivariate normal distribution
NMixPredCondCDFMarg
Univariate conditional predictive cumulative distribution function
NMixMCMCdata
Data manipulation for the NMixMCMC function
NMixMCMC
MCMC estimation of (multivariate) normal mixtures with possibly censored data.
NMixPlugDA
Discriminant analysis based on plug-in estimates from the mixture model
PBCseq
Mayo Clinic Primary Biliary Cirrhosis, sequential data
plotProfiles
Plot individual longitudinal profiles
cbplot
Plot a function together with its confidence/credible bands
GLMM_MCMCinit.eps
Handle init.eps or init2.eps argument of GLMM_MCMC function
GLMM_MCMCprior.b
Handle prior.eps argument of GLMM_MCMC function
Tandmob
Signal Tandmobiel data
Y2T
Transform fitted distribution of Y=trans(T) into distribution of T
generatePermutations
Generate all permutations of (1, ..., K)
Faithful
Old Faithful Geyser Data
TandmobEmer
Signal Tandmobiel data - emergence times
NMixPredDensJoint2
Pairwise bivariate predictive density
GLMM_MCMCwrapper
Wrapper to the GLMM_MCMC main simulation.
plot.NMixPlugCondDensJoint2
Plot computed pairwise bivariate conditional densities (plug-in estimate)
NMixPseudoGOF
Pseudo goodness-of-fit test for a normal mixture model
NMixPlugCondDensMarg
Univariate conditional densities: plug-in estimate
tracePlots
Traceplots for selected parameters
Acidity
Acidity index of lakes in North-Central Wisconsin
GLMM_MCMCdata
Data manipulation for the GLMM_MCMC function
BsBasis
B-spline basis
SP2Rect
Conversion of a symmetric matrix stored in a packed format (lower triangle only) into a matrix
MVN
Multivariate normal distribution
NMixRelabel
Re-labeling the MCMC output of the mixture model
plot.NMixPredDensMarg
Plot computed marginal predictive densities
getProfiles
Individual longitudinal profiles of a given variable
plot.NMixPlugDensJoint2
Plot computed marginal pairwise bivariate densities (plug-in estimate)
plot.NMixPredCondDensJoint2
Plot computed predictive pairwise bivariate conditional densities
GLMM_MCMCscale.b
Handle scale.b argument of GLMM_MCMC function
NMixMCMCinitr
Initial component allocations for the NMixMCMC function
NMixPlugDensMarg
Marginal (univariate) densities: plug-in estimate
NMixPredCDFMarg
Marginal (univariate) predictive cumulative distribution function
NMixPredDA
Discriminant analysis based on MCMC output from the mixture model
MatMPpinv
Moore-Penrose pseudoinverse of a squared matrix
GLMM_MCMCifit
Initial (RE)ML fits for the GLMM_MCMC function
fitted.GLMM_MCMC
Fitted profiles in the GLMM model
plot.NMixPlugDensMarg
Plot computed marginal predictive densities
NMixPredCondDensJoint2
Pairwise bivariate conditional predictive densities
rRotationMatrix
Random rotation matrix
MVT
Multivariate Student t distribution
NMixMCMCinity
Initial values of censored observations for the NMixMCMC function
rSamplePair
Sample a pair (with replacement)
GLMM_MCMCinit.b
Handle init.b or init2.b argument of GLMM_MCMC function
TNorm
Truncated normal distribution
plot.NMixPredCondCDFMarg
Plot computed univariate conditional predictive cumulative distribution functions
autolayout
Automatic layout for several plots in one figure
Wishart
Wishart distribution
plot.NMixPredDensJoint2
Plot computed marginal pairwise bivariate predictive densities