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mixAK (version 0.8)
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
856
Version
0.8
License
GPL (>= 2)
Maintainer
Arnošt Komárek
Last Published
February 18th, 2010
Functions in mixAK (0.8)
Search functions
TandmobEmer
Signal Tandmobiel data - emergence times
BLA
Best linear approximation with respect to the mean square error (theoretical linear regression).
Enzyme
Enzymatic activity in the blood
NMixPlugDensJoint2
Pairwise bivariate densities: plug-in estimate
NMixPredCDFMarg
Marginal (univariate) predictive cumulative distribution function
GLMM_MCMC
MCMC estimation of generalized linear mixed model with mixtures in the distributions.
GLMM_MCMCscale.b
Handle scale.b argument of GLMM_MCMC function
NMixPredDensMarg
Marginal (univariate) predictive density
MVNmixture
Mixture of (multivariate) normal distributions
NMixMCMCinity
Initial values of censored observations for the NMixMCMC function
Y2T
Transform fitted distribution of Y=trans(T) into distribution of T
NMixPlugDA
Discriminant analysis based on plug-in estimates from the mixture model
NMixSummComp
Summary for the mixture components
plot.NMixPredDensJoint2
Plot computed marginal pairwise bivariate predictive densities
NMixPredCondDensJoint2
Pairwise bivariate conditional predictive densities
NMixRelabel
Re-labeling the MCMC output of the mixture model
rRotationMatrix
Random rotation matrix
plot.NMixPredCondDensJoint2
Plot computed predictive pairwise bivariate conditional densities
TMVN
Truncated multivariate normal distribution
GLMM_MCMCprior.b
Handle prior.eps argument of GLMM_MCMC function
NMixPredDensJoint2
Pairwise bivariate predictive density
NMixMCMC
MCMC estimation of (multivariate) normal mixtures with possibly censored data.
NMixMCMCdata
Data manipulation for the NMixMCMC function
Acidity
Acidity index of lakes in North-Central Wisconsin
NMixMCMCwrapper
Wrapper to the NMixMCMC main simulation.
Dirichlet
Dirichlet distribution
NMixPlugCondDensJoint2
Pairwise bivariate conditional densities: plug-in estimate
autolayout
Automatic layout for several plots in one figure
plot.NMixPredCDFMarg
Plot computed marginal predictive cumulative distribution functions
NMixPlugDensMarg
Marginal (univariate) densities: plug-in estimate
TNorm
Truncated normal distribution
generatePermutations
Generate all permutations of (1, ..., K)
GLMM_longitDA
Discriminant analysis for longitudinal profiles based on fitted GLMM's
plot.NMixPredCondDensMarg
Plot computed univariate conditional predictive densities
NMixPseudoGOF
Pseudo goodness-of-fit test for a normal mixture model
plot.NMixPredDensMarg
Plot computed marginal predictive densities
SP2Rect
Creation of a rectangular symmetric matrix from its lower triangle (symmetric packed format)
NMixEM
EM algorithm for a homoscedastic normal mixture
Galaxy
Velocities of distant galaxies
Wishart
Wishart distribution
NMixChainsDerived
Create MCMC chains derived from previously sampled values
plot.NMixPlugDensJoint2
Plot computed marginal pairwise bivariate densities (plug-in estimate)
plot.NMixPlugCondDensMarg
Plot computed univariate conditional densities (plug-in estimate)
rSamplePair
Sample a pair (with replacement)
MVN
Multivariate normal distribution
plot.NMixPlugCondDensJoint2
Plot computed pairwise bivariate conditional densities (plug-in estimate)
GLMM_MCMCdata
Data manipulation for the GLMM_MCMC function
GLMM_MCMCifit
Initial (RE)ML fits for the GLMM_MCMC function
GLMM_MCMCprior.eps
Handle prior.eps argument of GLMM_MCMC function
MatMPpinv
Moore-Penrose pseudoinverse of a squared matrix
NMixMCMCinitr
Initial component allocations for the NMixMCMC function
plot.NMixPlugDensMarg
Plot computed marginal predictive densities
NMixPredCondDensMarg
Univariate conditional predictive density
GLMM_MCMCprior.beta
Handle prior.beta argument of GLMM_MCMC function
Tandmob
Signal Tandmobiel data
tracePlots
Traceplots for selected parameters
Faithful
Old Faithful Geyser Data
NMixPredDA
Discriminant analysis based on MCMC output from the mixture model
NMixPlugCondDensMarg
Univariate conditional densities: plug-in estimate
MatSqrt
Square root of a matrix