GitHub - ashar799/DirichletProcessMixtureModel: The Dirichlet Process Mixture Model provides a fully Bayesian analysis for the inference of clusters and their parameters.

ashar799 / DirichletProcessMixtureModel Public

Notifications You must be signed in to change notification settings
Fork 2
Star 0

The Dirichlet Process Mixture Model provides a fully Bayesian analysis for the inference of clusters and their parameters.

0 stars 2 forks Branches Tags Activity

Star

Notifications

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 12 Commits
.Rproj.user		.Rproj.user
NMF_25819be113c		NMF_25819be113c
conflict		conflict
.RData		.RData
.Rhistory		.Rhistory
.dropbox.attr		.dropbox.attr
.gitignore		.gitignore
10Repetition.R		10Repetition.R
10RepetitionAl.R		10RepetitionAl.R
2Dvizualization.R		2Dvizualization.R
ABCvizualization.R		ABCvizualization.R
C-indexCalc.R		C-indexCalc.R
Combined.pdf		Combined.pdf
DPplusAFT.Rproj		DPplusAFT.Rproj
DiagDPMMM.TEST.R		DiagDPMMM.TEST.R
GESimulatePredictD10K30C.R		GESimulatePredictD10K30C.R
GESimulatePredictD50K30C.R		GESimulatePredictD50K30C.R
GESimulationFINAL.R		GESimulationFINAL.R
GEsimulate.R		GEsimulate.R
GEsimulateD20K2I1C1DIAGONAL.R		GEsimulateD20K2I1C1DIAGONAL.R
KEYVIP (Case Conflict).R		KEYVIP (Case Conflict).R
KEYVIP.R		KEYVIP.R
KEY_prostrate.R		KEY_prostrate.R
NiklasVIP.R		NiklasVIP.R
PathwayScores.R		PathwayScores.R
PathwayScoresVerhaark.R		PathwayScoresVerhaark.R
Readme.txt		Readme.txt
Readme.txt~		Readme.txt~
SIMULATIONSRandIndex.R		SIMULATIONSRandIndex.R
SIManalyzeDPMM.R		SIManalyzeDPMM.R
SIMgroundtruth.R		SIMgroundtruth.R
Simulation_MAIN.R		Simulation_MAIN.R
Simulations.RData		Simulations.RData
TEST.SIMULATIONS.GENERAL.R		TEST.SIMULATIONS.GENERAL.R
TEST.SUMLATIONS.GROUNDtruth.R		TEST.SUMLATIONS.GROUNDtruth.R
TestPosteriorAFT.R		TestPosteriorAFT.R
ToyDataABCConference.RData		ToyDataABCConference.RData
VIP.pdf		VIP.pdf
Verhaak.pdf		Verhaak.pdf
VerhaarkRun.R		VerhaarkRun.R
betahatVIP.csv		betahatVIP.csv
burninDPMM.R		burninDPMM.R
calR2error.R		calR2error.R
calcbrier.R		calcbrier.R
calcindex.R		calcindex.R
calcrmse.R		calcrmse.R
cindexrandom.R		cindexrandom.R
clanc.R		clanc.R
dirichletmixture.R		dirichletmixture.R
flexloglikelihood.R		flexloglikelihood.R
flexmixBLASSO.R		flexmixBLASSO.R
flexposteriorchineseAFT.R		flexposteriorchineseAFT.R
full.testD100K31I1C.R		full.testD100K31I1C.R
gibbsDPMM.R		gibbsDPMM.R
hs_err_pid7811.log		hs_err_pid7811.log
iSIMgroundtruth.R		iSIMgroundtruth.R
importDP.R		importDP.R
initializeDPMM.R		initializeDPMM.R
inversetoy.R		inversetoy.R
keyBeer.R		keyBeer.R
keyVIP_New.R		keyVIP_New.R
keyVIP_NewZ.R		keyVIP_NewZ.R
keyVV.R		keyVV.R
keyVantVeer.R		keyVantVeer.R
keyVerhaakFINAL.R		keyVerhaakFINAL.R
keyVerhaakFINALpathway.R		keyVerhaakFINALpathway.R
keyVijver.R		keyVijver.R
kmeansAIC.R		kmeansAIC.R
kmeansBlasso.R		kmeansBlasso.R
kmeansinit.R		kmeansinit.R
likelihood.R		likelihood.R
multiplot.R		multiplot.R
pathway.R		pathway.R
posteriorAFTonlyGMM.R		posteriorAFTonlyGMM.R
posteriorGMMparametrs.R		posteriorGMMparametrs.R
posterioralpha.R		posterioralpha.R
posteriorbeta.R		posteriorbeta.R
posteriorchineseAFT.R		posteriorchineseAFT.R
posteriorchineseAFTplus.R		posteriorchineseAFTplus.R
posteriorhyper.R		posteriorhyper.R
posteriorhyperPLUS.R		posteriorhyperPLUS.R
posteriortimeparameters.R		posteriortimeparameters.R
preBeer-only1dataset.R		preBeer-only1dataset.R
preBeer.R		preBeer.R
preVIJVER.R		preVIJVER.R
preVIP_new.R		preVIP_new.R
preVIP_new_Z.R		preVIP_new_Z.R
preVerhaak.R		preVerhaak.R
preVerhaakCox.R		preVerhaakCox.R
preVerhaakFINAL.R		preVerhaakFINAL.R
predict.R		predict.R
predictCLASS.R		predictCLASS.R
predictCLUSTER.R		predictCLUSTER.R
predictchineseAFT.R		predictchineseAFT.R
predictchineseAFTtime.R		predictchineseAFTtime.R
predictionGroundTruth.R		predictionGroundTruth.R
predictlinear.R		predictlinear.R
predictrisk.R		predictrisk.R
predicttime.R		predicttime.R
premium.R		premium.R

Repository files navigation

This project implements a Dirichlet Process Mixture Model. 
All the code has been written in R.
The file Simulatioin_MAIN.R contains the code for simulating the data and running the model.