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mixAK (version 1.4)
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
1.4
License
GPL (>= 2)
Maintainer
Arnošt Komárek
Last Published
February 27th, 2011
Functions in mixAK (1.4)
Search functions
GLMM_MCMCprior.b
Handle prior.eps argument of GLMM_MCMC function
Faithful
Old Faithful Geyser Data
rRotationMatrix
Random rotation matrix
NMixPseudoGOF
Pseudo goodness-of-fit test for a normal mixture model
BLA
Best linear approximation with respect to the mean square error (theoretical linear regression).
NMixPredDensMarg
Marginal (univariate) predictive density
Enzyme
Enzymatic activity in the blood
NMixPlugCondDensJoint2
Pairwise bivariate conditional densities: plug-in estimate
MatSqrt
Square root of a matrix
plot.NMixPredDensJoint2
Plot computed marginal pairwise bivariate predictive densities
GLMM_MCMCscale.b
Handle scale.b argument of GLMM_MCMC function
NMixMCMCinitr
Initial component allocations for the NMixMCMC function
NMixPlugDA
Discriminant analysis based on plug-in estimates from the mixture model
GLMM_MCMC
MCMC estimation of a (multivariate) generalized linear mixed model with a normal mixture in the distribution of random effects
NMixEM
EM algorithm for a homoscedastic normal mixture
NMixPredDA
Discriminant analysis based on MCMC output from the mixture model
plot.NMixPredCDFMarg
Plot computed marginal predictive cumulative distribution functions
plot.NMixPredCondCDFMarg
Plot computed univariate conditional predictive cumulative distribution functions
Acidity
Acidity index of lakes in North-Central Wisconsin
NMixSummComp
Summary for the mixture components
TandmobEmer
Signal Tandmobiel data - emergence times
Y2T
Transform fitted distribution of Y=trans(T) into distribution of T
plot.NMixPlugCondDensMarg
Plot computed univariate conditional densities (plug-in estimate)
plot.NMixPlugDensJoint2
Plot computed marginal pairwise bivariate densities (plug-in estimate)
NMixPredCondDensJoint2
Pairwise bivariate conditional predictive densities
getProfiles
Individual longitudinal profiles of a given variable
BsBasis
B-spline basis
generatePermutations
Generate all permutations of (1, ..., K)
plot.NMixPredCondDensJoint2
Plot computed predictive pairwise bivariate conditional densities
plot.NMixPlugDensMarg
Plot computed marginal predictive densities
NMixMCMC
MCMC estimation of (multivariate) normal mixtures with possibly censored data.
GLMM_MCMCprior.alpha
Handle prior.alpha argument of GLMM_MCMC function
NMixPredDensJoint2
Pairwise bivariate predictive density
plotProfiles
Plot individual longitudinal profiles
NMixPlugDensMarg
Marginal (univariate) densities: plug-in estimate
NMixPredCondCDFMarg
Univariate conditional predictive cumulative distribution function
summaryDiff
Posterior summary statistics for a difference of two quantities
NMixPredCDFMarg
Marginal (univariate) predictive cumulative distribution function
MatMPpinv
Moore-Penrose pseudoinverse of a squared matrix
Galaxy
Velocities of distant galaxies
GLMM_MCMCifit
Initial (RE)ML fits for the GLMM_MCMC function
PBCseq
Mayo Clinic Primary Biliary Cirrhosis, sequential data
NMixPredCondDensMarg
Univariate conditional predictive density
NMixRelabel
Re-labeling the MCMC output of the mixture model
Wishart
Wishart distribution
plot.NMixPredDensMarg
Plot computed marginal predictive densities
GLMM_MCMCdata
Data manipulation for the GLMM_MCMC function
autolayout
Automatic layout for several plots in one figure
fitted.GLMM_MCMC
Fitted profiles in the GLMM model
TMVN
Truncated multivariate normal distribution
NMixMCMCdata
Data manipulation for the NMixMCMC function
NMixMCMCinity
Initial values of censored observations for the NMixMCMC function
NMixChainsDerived
Create MCMC chains derived from previously sampled values
TNorm
Truncated normal distribution
GLMM_longitDA
Discriminant analysis for longitudinal profiles based on fitted GLMM's
Tandmob
Signal Tandmobiel data
MVNmixture
Mixture of (multivariate) normal distributions
MVN
Multivariate normal distribution
plot.NMixPlugCondDensJoint2
Plot computed pairwise bivariate conditional densities (plug-in estimate)
cbplot
Plot a function together with its confidence/credible bands
rSamplePair
Sample a pair (with replacement)
tracePlots
Traceplots for selected parameters
GLMM_MCMCprior.eps
Handle prior.eps argument of GLMM_MCMC function
NMixMCMCwrapper
Wrapper to the NMixMCMC main simulation.
NMixPlugCondDensMarg
Univariate conditional densities: plug-in estimate
Dirichlet
Dirichlet distribution
NMixPlugDensJoint2
Pairwise bivariate densities: plug-in estimate
NMixRelabelAlgorithm
Argument manipulation for the NMixRelabel functions
SP2Rect
Conversion of a symmetric matrix stored in a packed format (lower triangle only) into a matrix
plot.NMixPredCondDensMarg
Plot computed univariate conditional predictive densities