Rdocumentation
powered by
Learn R Programming
⚠️
There's a newer version (3.2.13) of this package.
Take me there.
PReMiuM (version 3.0.24)
Dirichlet Process Bayesian Clustering, Profile Regression
Description
Dirichlet process Bayesian clustering, also known as profile regression.
Copy Link
Link to current version
Version
Version
3.2.13
3.2.11
3.2.10
3.2.9
3.2.8
3.2.7
3.2.6
3.2.5
3.2.3
3.2.2
3.2.1
3.2.0
3.1.8
3.1.7
3.1.6
3.1.5
3.1.4
3.1.3
3.1.2
3.1.1
3.1.0
3.0.32
3.0.30
3.0.29
3.0.28
3.0.26
3.0.24
3.0.23
3.0.21
3.0.20
3.0.18
3.0.17
3.0.16
3.0.15
3.0.13
3.0.11
Install
install.packages('PReMiuM')
Monthly Downloads
566
Version
3.0.24
License
GPL-2
Maintainer
Silvia Liverani
Last Published
April 7th, 2014
Functions in PReMiuM (3.0.24)
Search all functions
is.wholenumber
Function to check if a number is a whole number
plotRiskProfile
Plot the Risk Profiles
PReMiuM-package
Dirichlet Process Bayesian Clustering
margModelPosterior
Marginal Model Posterior
globalParsTrace
Plot of the trace of some of the global parameters
summariseVarSelectRho
summariseVarSelectRho
setHyperparams
Definition of characteristics of sample datasets for profile regression
plotPredictions
Plot the conditional density using the predicted scenarios
profRegr
Profile Regression
vec2mat
Vector to upper triangular matrix
calcDissimilarityMatrix
Calculates the dissimilarity matrix
computeRatioOfVariance
computeRatioOfVariance
calcPredictions
Calculates the predictions
heatDissMat
Plot the heatmap of the dissimilarity matrix
clusSummaryBernoulliDiscrete
Sample datasets for profile regression
calcOptimalClustering
Calculation of the optimal clustering
generateSampleDataFile
Generate sample data files for profile regression
calcAvgRiskAndProfile
Calculation of the average risks and profiles