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PReMiuM (version 3.0.23)
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
3.0.23
License
GPL-2
Maintainer
Silvia Liverani
Last Published
April 3rd, 2014
Functions in PReMiuM (3.0.23)
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globalParsTrace
Plot of the trace of some of the global parameters
calcDissimilarityMatrix
Calculates the dissimilarity matrix
calcPredictions
Calculates the predictions
PReMiuM-package
Dirichlet Process Bayesian Clustering
plotPredictions
Plot the conditional density using the predicted scenarios
profRegr
Profile Regression
clusSummaryBernoulliDiscrete
Sample datasets for profile regression
calcAvgRiskAndProfile
Calculation of the average risks and profiles
heatDissMat
Plot the heatmap of the dissimilarity matrix
summariseVarSelectRho
summariseVarSelectRho
margModelPosterior
Marginal Model Posterior
plotRiskProfile
Plot the Risk Profiles
generateSampleDataFile
Generate sample data files for profile regression
computeRatioOfVariance
computeRatioOfVariance
setHyperparams
Definition of characteristics of sample datasets for profile regression
vec2mat
Vector to upper triangular matrix
is.wholenumber
Function to check if a number is a whole number
calcOptimalClustering
Calculation of the optimal clustering