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PReMiuM (version 3.0.16)
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
3.0.16
License
GPL (>= 3)
Maintainer
Silvia Liverani
Last Published
March 15th, 2013
Functions in PReMiuM (3.0.16)
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clusSummaryBernoulliDiscrete
Sample datasets for profile regression
setHyperparams
Definition of characteristics of sample datasets for profile regression
calcAvgRiskAndProfile
Calculation of the average risks and profiles
PReMiuM-package
Dirichlet Process Bayesian Clustering
calcPredictions
Calculates the predictions
margModelPosterior
Marginal Model Posterior
calcOptimalClustering
Calculation of the optimal clustering
calcDissimilarityMatrix
Calculates the dissimilarity matrix
generateSampleDataFile
Generate sample data files for profile regression
is.wholenumber
Function to check if a number is a whole number
profRegr
Profile Regression
summariseVarSelectRho
summariseVarSelectRho
plotRiskProfile
Plot the Risk Profiles