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PReMiuM (version 3.0.29)
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
3.0.29
License
GPL-2
Maintainer
Silvia Liverani
Last Published
September 9th, 2014
Functions in PReMiuM (3.0.29)
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mapforGeneratedData
Map generated data
heatDissMat
Plot the heatmap of the dissimilarity matrix
profRegr
Profile Regression
margModelPosterior
Marginal Model Posterior
calcPredictions
Calculates the predictions
calcOptimalClustering
Calculation of the optimal clustering
globalParsTrace
Plot of the trace of some of the global parameters
PReMiuM-package
Dirichlet Process Bayesian Clustering
plotPredictions
Plot the conditional density using the predicted scenarios
calcAvgRiskAndProfile
Calculation of the average risks and profiles
generateSampleDataFile
Generate sample data files for profile regression
summariseVarSelectRho
summariseVarSelectRho
vec2mat
Vector to upper triangular matrix
plotRiskProfile
Plot the Risk Profiles
setHyperparams
Definition of characteristics of sample datasets for profile regression
calcDissimilarityMatrix
Calculates the dissimilarity matrix
computeRatioOfVariance
computeRatioOfVariance
is.wholenumber
Function to check if a number is a whole number
clusSummaryBernoulliDiscrete
Sample datasets for profile regression