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PReMiuM (version 3.0.18)
Dirichlet Process Bayesian Clustering, Profile Regression
Description
Dirichlet process Bayesian clustering, also known as profile regression.
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Install
install.packages('PReMiuM')
Monthly Downloads
415
Version
3.0.18
License
GPL-2
Maintainer
Silvia Liverani
Last Published
April 24th, 2013
Functions in PReMiuM (3.0.18)
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generateSampleDataFile
Generate sample data files for profile regression
plotRiskProfile
Plot the Risk Profiles
computeRatioOfVariance
computeRatioOfVariance
calcDissimilarityMatrix
Calculates the dissimilarity matrix
calcAvgRiskAndProfile
Calculation of the average risks and profiles
setHyperparams
Definition of characteristics of sample datasets for profile regression
margModelPosterior
Marginal Model Posterior
clusSummaryBernoulliDiscrete
Sample datasets for profile regression
PReMiuM-package
Dirichlet Process Bayesian Clustering
profRegr
Profile Regression
calcOptimalClustering
Calculation of the optimal clustering
calcPredictions
Calculates the predictions
is.wholenumber
Function to check if a number is a whole number
summariseVarSelectRho
summariseVarSelectRho