clustMD: Model Based Clustering for Mixed Data
Version 1.2.1

Model-based clustering of mixed data (i.e. data which consist of continuous, binary, ordinal or nominal variables) using a parsimonious mixture of latent Gaussian variable models.

Browse man pages Browse package API and functions Browse package files

AuthorDamien McParland [aut, cre], Isobel Claire Gormley [aut]
Date of publication2017-05-08 17:19:20 UTC
MaintainerDamien McParland <damien.mcparland@ucd.ie>
LicenseGPL-2
Version1.2.1
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("clustMD")

Man pages

Byar: Byar prostate cancer data set.
clustMD: Model Based Clustering for Mixed Data
clustMDlist: Model Based Clustering for Mixed Data
clustMD-package: Model based clustering for mixed data: clustMD
clustMDparallel: Run multiple clustMD models in parallel
clustMDparcoord: Parallel coordinates plot adapted for 'clustMD' output
dtmvnom: Return the mean and covariance matrix of a truncated...
E.step: E-step of the (MC)EM algorithm
getOutput_clustMDparallel: Extracts relevant output from 'clustMDparallel' object
modal.value: Calculate the mode of a sample
M.step: M-step of the (MC)EM algorithm
npars_clustMD: Calculates the number of free parameters for the 'clustMD'...
ObsLogLikelihood: Approximates the observed log likelihood.
patt.equal: Check if response patterns are equal
perc.cutoffs: Calculates the threshold parameters for ordinal variables.
plot.clustMD: Plotting method for objects of class 'clustMD'
plot.clustMDparallel: Summary plots for a clustMDparallel object
print.clustMD: Print basic details of 'clustMD' object.
print.clustMDparallel: Print basic details of 'clustMDparallel' object
qfun: Helper internal function for 'dtmvnom()'
stable.probs: Stable computation of the log of a sum
summary.clustMD: Summarise 'clustMD' object
summary.clustMDparallel: Prints a summary of a clustMDparallel object to screen.
vec.outer: Calculate the outer product of a vector with itself
z.moments: Calculates the first and second moments of the latent data
z.moments_diag: Calculates the first and second moments of the latent data...
z.nom.diag: Transforms Monte Carlo simulated data into categorical data....

Functions

Byar Man page
E.step Man page Source code
M.step Man page Source code
ObsLogLikelihood Man page Source code
_PACKAGE Man page
clustMD Man page Source code
clustMD-package Man page
clustMDlist Man page Source code
clustMDparallel Man page Source code
clustMDparcoord Man page Source code
dtmvnom Man page Source code
getOutput_clustMDparallel Man page Source code
modal.value Man page Source code
npars_clustMD Man page Source code
onAttach Source code
patt.equal Man page Source code
perc.cutoffs Man page Source code
plot.clustMD Man page Source code
plot.clustMDparallel Man page Source code
print.clustMD Man page Source code
print.clustMDparallel Man page Source code
qfun Man page Source code
stable.probs Man page Source code
summary.clustMD Man page Source code
summary.clustMDparallel Man page Source code
vec.outer Man page Source code
z.moments Man page Source code
z.moments_diag Man page Source code
z.nom.diag Man page Source code

Files

NAMESPACE
data
data/Byar.rda
R
R/clustMD_UtilityFunctions.R
R/clustMD_UserFunctions.R
R/clustMD.R
R/clustMD_Methods.R
R/clustMD_InternalFunctions.R
R/WelcomeMessage.R
README.md
MD5
DESCRIPTION
man
man/clustMDparcoord.Rd
man/print.clustMDparallel.Rd
man/M.step.Rd
man/stable.probs.Rd
man/vec.outer.Rd
man/print.clustMD.Rd
man/summary.clustMD.Rd
man/getOutput_clustMDparallel.Rd
man/z.nom.diag.Rd
man/summary.clustMDparallel.Rd
man/Byar.Rd
man/patt.equal.Rd
man/plot.clustMDparallel.Rd
man/dtmvnom.Rd
man/clustMD.Rd
man/clustMD-package.Rd
man/z.moments_diag.Rd
man/z.moments.Rd
man/clustMDparallel.Rd
man/modal.value.Rd
man/E.step.Rd
man/npars_clustMD.Rd
man/ObsLogLikelihood.Rd
man/clustMDlist.Rd
man/perc.cutoffs.Rd
man/plot.clustMD.Rd
man/qfun.Rd
clustMD documentation built on May 19, 2017, 1:16 p.m.