Rdocumentation
powered by
Learn R Programming
⚠️
There's a newer version (3.2.13) of this package.
Take me there.
PReMiuM (version 3.0.26)
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
415
Version
3.0.26
License
GPL-2
Maintainer
Silvia Liverani
Last Published
May 6th, 2014
Functions in PReMiuM (3.0.26)
Search all functions
profRegr
Profile Regression
calcOptimalClustering
Calculation of the optimal clustering
plotRiskProfile
Plot the Risk Profiles
globalParsTrace
Plot of the trace of some of the global parameters
setHyperparams
Definition of characteristics of sample datasets for profile regression
calcDissimilarityMatrix
Calculates the dissimilarity matrix
summariseVarSelectRho
summariseVarSelectRho
generateSampleDataFile
Generate sample data files for profile regression
calcPredictions
Calculates the predictions
clusSummaryBernoulliDiscrete
Sample datasets for profile regression
plotPredictions
Plot the conditional density using the predicted scenarios
heatDissMat
Plot the heatmap of the dissimilarity matrix
is.wholenumber
Function to check if a number is a whole number
computeRatioOfVariance
computeRatioOfVariance
vec2mat
Vector to upper triangular matrix
margModelPosterior
Marginal Model Posterior
PReMiuM-package
Dirichlet Process Bayesian Clustering
calcAvgRiskAndProfile
Calculation of the average risks and profiles