Rdocumentation
powered by
Learn R Programming
⚠️
There's a newer version (3.2.13) of this package.
Take me there.
PReMiuM (version 3.0.20)
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
3.0.20
License
GPL-2
Maintainer
Silvia Liverani
Last Published
May 4th, 2013
Functions in PReMiuM (3.0.20)
Search all functions
setHyperparams
Definition of characteristics of sample datasets for profile regression
calcDissimilarityMatrix
Calculates the dissimilarity matrix
profRegr
Profile Regression
summariseVarSelectRho
summariseVarSelectRho
margModelPosterior
Marginal Model Posterior
generateSampleDataFile
Generate sample data files for profile regression
calcOptimalClustering
Calculation of the optimal clustering
plotRiskProfile
Plot the Risk Profiles
calcAvgRiskAndProfile
Calculation of the average risks and profiles
computeRatioOfVariance
computeRatioOfVariance
clusSummaryBernoulliDiscrete
Sample datasets for profile regression
PReMiuM-package
Dirichlet Process Bayesian Clustering
calcPredictions
Calculates the predictions
is.wholenumber
Function to check if a number is a whole number