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PReMiuM (version 3.0.28)
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
3.0.28
License
GPL-2
Maintainer
Silvia Liverani
Last Published
June 30th, 2014
Functions in PReMiuM (3.0.28)
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calcDissimilarityMatrix
Calculates the dissimilarity matrix
calcAvgRiskAndProfile
Calculation of the average risks and profiles
calcPredictions
Calculates the predictions
mapforGeneratedData
Map generated data
vec2mat
Vector to upper triangular matrix
clusSummaryBernoulliDiscrete
Sample datasets for profile regression
calcOptimalClustering
Calculation of the optimal clustering
globalParsTrace
Plot of the trace of some of the global parameters
margModelPosterior
Marginal Model Posterior
profRegr
Profile Regression
plotPredictions
Plot the conditional density using the predicted scenarios
plotRiskProfile
Plot the Risk Profiles
computeRatioOfVariance
computeRatioOfVariance
setHyperparams
Definition of characteristics of sample datasets for profile regression
summariseVarSelectRho
summariseVarSelectRho
PReMiuM-package
Dirichlet Process Bayesian Clustering
heatDissMat
Plot the heatmap of the dissimilarity matrix
is.wholenumber
Function to check if a number is a whole number
generateSampleDataFile
Generate sample data files for profile regression