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mixAK (version 2.4)
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
925
Version
2.4
License
GPL (>= 2)
Maintainer
Arnošt Komárek
Last Published
June 19th, 2012
Functions in mixAK (2.4)
Search functions
GLMM_longitDA
Discriminant analysis for longitudinal profiles based on fitted GLMM's
GLMM_MCMCprior.b
Handle prior.eps argument of GLMM_MCMC function
GLMM_MCMC
MCMC estimation of a (multivariate) generalized linear mixed model with a normal mixture in the distribution of random effects
NMixMCMCwrapper
Wrapper to the NMixMCMC main simulation.
NMixEM
EM algorithm for a homoscedastic normal mixture
MVNmixture
Mixture of (multivariate) normal distributions
Enzyme
Enzymatic activity in the blood
NMixMCMCdata
Data manipulation for the NMixMCMC function
MatMPpinv
Moore-Penrose pseudoinverse of a squared matrix
NMixPredCondDensJoint2
Pairwise bivariate conditional predictive densities
NMixPredCDFMarg
Marginal (univariate) predictive cumulative distribution function
NMixSummComp
Summary for the mixture components
NMixPseudoGOF
Pseudo goodness-of-fit test for a normal mixture model
NMixPredDA
Discriminant analysis based on MCMC output from the mixture model
MVN
Multivariate normal distribution
plot.NMixPlugCondDensMarg
Plot computed univariate conditional densities (plug-in estimate)
NMixRelabelAlgorithm
Argument manipulation for the NMixRelabel functions
getProfiles
Individual longitudinal profiles of a given variable
NMixPlugDensJoint2
Pairwise bivariate densities: plug-in estimate
generatePermutations
Generate all permutations of (1, ..., K)
Wishart
Wishart distribution
fitted.GLMM_MCMC
Fitted profiles in the GLMM model
plot.NMixPredCDFMarg
Plot computed marginal predictive cumulative distribution functions
GLMM_MCMCinit.eps
Handle init.eps or init2.eps argument of GLMM_MCMC function
MVT
Multivariate Student t distribution
GLMM_MCMCwrapper
Wrapper to the GLMM_MCMC main simulation.
NMixPlugDensMarg
Marginal (univariate) densities: plug-in estimate
NMixPlugDA
Discriminant analysis based on plug-in estimates from the mixture model
plot.NMixPredCondCDFMarg
Plot computed univariate conditional predictive cumulative distribution functions
cbplot
Plot a function together with its confidence/credible bands
NMixPredCondDensMarg
Univariate conditional predictive density
summaryDiff
Posterior summary statistics for a difference of two quantities
GLMM_MCMCinit.b
Handle init.b or init2.b argument of GLMM_MCMC function
NMixPlugCondDensJoint2
Pairwise bivariate conditional densities: plug-in estimate
NMixPredCondCDFMarg
Univariate conditional predictive cumulative distribution function
MatSqrt
Square root of a matrix
Y2T
Transform fitted distribution of Y=trans(T) into distribution of T
NMixPredDensMarg
Marginal (univariate) predictive density
plot.NMixPredCondDensMarg
Plot computed univariate conditional predictive densities
NMixRelabel
Re-labeling the MCMC output of the mixture model
Tandmob
Signal Tandmobiel data
plot.NMixPredCondDensJoint2
Plot computed predictive pairwise bivariate conditional densities
SP2Rect
Conversion of a symmetric matrix stored in a packed format (lower triangle only) into a matrix
plot.NMixPredDensJoint2
Plot computed marginal pairwise bivariate predictive densities
GLMM_MCMCdata
Data manipulation for the GLMM_MCMC function
autolayout
Automatic layout for several plots in one figure
TandmobEmer
Signal Tandmobiel data - emergence times
Acidity
Acidity index of lakes in North-Central Wisconsin
GLMM_MCMCscale.b
Handle scale.b argument of GLMM_MCMC function
GLMM_MCMCinit.alpha
Handle init.alpha or init2.alpha argument of GLMM_MCMC function
plot.NMixPlugDensMarg
Plot computed marginal predictive densities
plot.NMixPredDensMarg
Plot computed marginal predictive densities
GLMM_MCMCprior.alpha
Handle prior.alpha argument of GLMM_MCMC function
Faithful
Old Faithful Geyser Data
BLA
Best linear approximation with respect to the mean square error (theoretical linear regression).
BsBasis
B-spline basis
NMixMCMCinity
Initial values of censored observations for the NMixMCMC function
GLMM_MCMCifit
Initial (RE)ML fits for the GLMM_MCMC function
NMixPredDensJoint2
Pairwise bivariate predictive density
plot.NMixPlugDensJoint2
Plot computed marginal pairwise bivariate densities (plug-in estimate)
tracePlots
Traceplots for selected parameters
plotProfiles
Plot individual longitudinal profiles
Galaxy
Velocities of distant galaxies
plot.NMixPlugCondDensJoint2
Plot computed pairwise bivariate conditional densities (plug-in estimate)
NMixMCMC
MCMC estimation of (multivariate) normal mixtures with possibly censored data.
TNorm
Truncated normal distribution
PBCseq
Mayo Clinic Primary Biliary Cirrhosis, sequential data
rRotationMatrix
Random rotation matrix
rSamplePair
Sample a pair (with replacement)
Dirichlet
Dirichlet distribution
NMixChainsDerived
Create MCMC chains derived from previously sampled values
NMixMCMCinitr
Initial component allocations for the NMixMCMC function
NMixPlugCondDensMarg
Univariate conditional densities: plug-in estimate
GLMM_MCMCprior.eps
Handle prior.eps argument of GLMM_MCMC function
TMVN
Truncated multivariate normal distribution