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PReMiuM (version 3.0.15)
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
3.0.15
License
GPL (>= 3)
Maintainer
Silvia Liverani
Last Published
February 7th, 2013
Functions in PReMiuM (3.0.15)
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calcAvgRiskAndProfile
Calculation of the average risks and profiles
generateSampleDataFile
Generate sample data files for profile regression
clusSummaryBernoulliDiscrete
Sample datasets for profile regression
is.wholenumber
Function to check if a number is a whole number
margModelPosterior
Marginal Model Posterior
calcPredictions
Calculates the predictions
summariseVarSelectRho
summariseVarSelectRho
setHyperparams
Definition of characteristics of sample datasets for profile regression
profRegr
Profile Regression
calcDissimilarityMatrix
Calculates the dissimilarity matrix
calcOptimalClustering
Calculation of the optimal clustering
plotRiskProfile
Plot the Risk Profiles
PReMiuM-package
Dirichlet Process Bayesian Clustering