Files in aliaksah/EMJMCMC2016

EMJMCMC

EMJMCMC/R/the_mode_jumping_package2.r R/load_dependencies/loaddeps.R R/mclapplyhack/mclapply-hack.R R/the_mode_jumping_package2.0.r R/the_mode_jumping_package2.r R/the_mode_jumping_package3.r R/the_mode_jumping_package4.0.r R/the_mode_jumping_package4.r R/the_mode_jumping_package5.r README.md ReadMe.pdf examples/A novel algorithmic approach to Bayesian logic regression supplementaries/appendix/appendixLR.pdf examples/A novel algorithmic approach to Bayesian logic regression supplementaries/proceed/postproceed.r examples/A novel algorithmic approach to Bayesian logic regression supplementaries/sensitivity/sensitivity.r examples/A novel algorithmic approach to Bayesian logic regression supplementaries/sensitivity/sensitivitycurves.r examples/A novel algorithmic approach to Bayesian logic regression supplementaries/simple usage/inference_help.r examples/A novel algorithmic approach to Bayesian logic regression supplementaries/simulations/scenario1/qtlsim1logG.r examples/A novel algorithmic approach to Bayesian logic regression supplementaries/simulations/scenario1/qtlsim1logJef.r examples/A novel algorithmic approach to Bayesian logic regression supplementaries/simulations/scenario2/qtlsim2logG.r examples/A novel algorithmic approach to Bayesian logic regression supplementaries/simulations/scenario2/qtlsim2logJef.r examples/A novel algorithmic approach to Bayesian logic regression supplementaries/simulations/scenario3/qtlsim3logG.r examples/A novel algorithmic approach to Bayesian logic regression supplementaries/simulations/scenario3/qtlsim3logJef.r examples/A novel algorithmic approach to Bayesian logic regression supplementaries/simulations/scenario4/qtlsim4G.r examples/A novel algorithmic approach to Bayesian logic regression supplementaries/simulations/scenario4/qtlsim4Jef.r examples/A novel algorithmic approach to Bayesian logic regression supplementaries/simulations/scenario5/qtlsim5G.r examples/A novel algorithmic approach to Bayesian logic regression supplementaries/simulations/scenario5/qtlsim5Jef.r examples/A novel algorithmic approach to Bayesian logic regression supplementaries/simulations/scenario6/qtlsim6G.r examples/A novel algorithmic approach to Bayesian logic regression supplementaries/simulations/scenario6/qtlsim6Jef.r examples/BAS archive/BAS/R/EB.bma.R examples/BAS archive/BAS/R/as.matrix.R examples/BAS archive/BAS/R/bas.R examples/BAS archive/BAS/R/coefficients.R examples/BAS archive/BAS/R/coefpriors.R examples/BAS archive/BAS/R/eplogprob.R examples/BAS archive/BAS/R/glm-fit.R examples/BAS archive/BAS/R/hypergeometric2F1.R examples/BAS archive/BAS/R/image.bma.R examples/BAS archive/BAS/R/modelpriors.R examples/BAS archive/BAS/R/plot.bma.R examples/BAS archive/BAS/R/predict.bma.R examples/BAS archive/BAS/R/summary.bma.R examples/BAS archive/BAS/R/update.bma.R examples/BAS archive/BAS/R/zzz.R examples/BAS archive/BAS/demo/BAS.USCrime.R examples/BAS archive/BAS/demo/BAS.hald.R examples/BAS archive/BAS/inst/doc/BAS-manual.pdf examples/BAS archive/BAS_old/R/EB.bma.R examples/BAS archive/BAS_old/R/as.matrix.R examples/BAS archive/BAS_old/R/bas.R examples/BAS archive/BAS_old/R/coefficients.R examples/BAS archive/BAS_old/R/coefpriors.R examples/BAS archive/BAS_old/R/eplogprob.R examples/BAS archive/BAS_old/R/glm-fit.R examples/BAS archive/BAS_old/R/hypergeometric2F1.R examples/BAS archive/BAS_old/R/image.bma.R examples/BAS archive/BAS_old/R/modelpriors.R examples/BAS archive/BAS_old/R/plot.bma.R examples/BAS archive/BAS_old/R/predict.bma.R examples/BAS archive/BAS_old/R/summary.bma.R examples/BAS archive/BAS_old/R/update.bma.R examples/BAS archive/BAS_old/R/zzz.R examples/BAS archive/BAS_old/demo/BAS.USCrime.R examples/BAS archive/BAS_old/demo/BAS.hald.R examples/BAS archive/BAS_old/inst/doc/BAS-manual.pdf examples/BAS archive/readme.pdf examples/Breast cancer data/breast_cancer.R examples/Breast cancer data/breast_cancer_bas.R examples/Breast cancer data/breast_cancer_tunefurther.R examples/Breast cancer data/postprocbreast.R examples/Breast cancer data/trte/breastcancer.r examples/DBRM supplementaries/asteroids/asteroids_competitors.R examples/DBRM supplementaries/asteroids/asteroids_parallel.r examples/DBRM supplementaries/asteroids/asteroids_single.r examples/DBRM supplementaries/breast cancer/breastcancer_competitors.r examples/DBRM supplementaries/breast cancer/breastcancer_parallel.r examples/DBRM supplementaries/breast cancer/breastcancer_single.r examples/DBRM supplementaries/epigenetic modifications/DBRM_epi.r examples/DBRM supplementaries/kepler and mass/kepler G1.r examples/DBRM supplementaries/kepler and mass/kepler G2.r examples/DBRM supplementaries/kepler and mass/kepler G3_1.r examples/DBRM supplementaries/kepler and mass/kepler G3_2.r examples/DBRM supplementaries/kepler and mass/kepler G3_3.r examples/DBRM supplementaries/kepler and mass/masses G1.r examples/DBRM supplementaries/kepler and mass/masses G2.r examples/DBRM supplementaries/paper/appendix.pdf examples/DBRM supplementaries/simulation/simBLR.r examples/DBRM supplementaries/simulation/simDBRM.r examples/DBRM supplementaries/spam/spam_competitors.r examples/DBRM supplementaries/spam/spam_parallel.r examples/DBRM supplementaries/spam/spam_single.r examples/Data Science bowl 2017/finalres.r examples/Data Science bowl 2017/finalresbiased.r examples/Data Science bowl 2017/picToXlogRes.r examples/Data Science bowl 2017/prepare_face_logres.r examples/Data Science bowl 2017/prepare_head_logres.r examples/Data Science bowl 2017/prepare_profile_logres.r examples/Deep Bayesian Regression/asteroids/asteroids_competitors.R examples/Deep Bayesian Regression/asteroids/asteroids_parallel.r examples/Deep Bayesian Regression/asteroids/asteroids_single.r examples/Deep Bayesian Regression/breast cancer/breastcancer_competitors.r examples/Deep Bayesian Regression/breast cancer/breastcancer_parallel.r examples/Deep Bayesian Regression/breast cancer/breastcancer_single.r examples/Deep Bayesian Regression/epigenetic modifications/DBRM_epi.r examples/Deep Bayesian Regression/kepler and mass/kepler G1.r examples/Deep Bayesian Regression/kepler and mass/kepler G2.r examples/Deep Bayesian Regression/kepler and mass/kepler G3_1.r examples/Deep Bayesian Regression/kepler and mass/kepler G3_2.r examples/Deep Bayesian Regression/kepler and mass/kepler G3_3.r examples/Deep Bayesian Regression/kepler and mass/masses G1.r examples/Deep Bayesian Regression/kepler and mass/masses G2.r examples/Deep Bayesian Regression/paper/appendix.pdf examples/Deep Bayesian Regression/simulation/simBLR.r examples/Deep Bayesian Regression/simulation/simDBRM.r examples/Deep Bayesian Regression/spam/spam_competitors.r examples/Deep Bayesian Regression/spam/spam_parallel.r examples/Deep Bayesian Regression/spam/spam_single.r examples/Digits recognition 10 logistics/all_digits.r examples/Digits recognition 10 logistics/all_digits_new.r examples/Digits recognition 10 logistics/digitrec.r examples/Dominics Project/gwas_survival.r examples/Epigenetic Data/epigenetic data logisic regressions.r examples/Epigenetic Data/epigenetic data poisson regression with a random effect 200 v2.r examples/Epigenetic Data/epigenetic data poisson regression with a random effect 350 (copy).r examples/Epigenetic Data/epigenetic data poisson regression with a random effect 350 v2.r examples/Epigenetic Data/epigenetic data poisson regression with a random effect 350.r examples/Epigenetic Data/epigenetic data poisson regression with a random effect 500.r examples/Epigenetic Data/epigenetic data various random effects.R examples/Epigenetic Data/feature extraction.r examples/Epigenetic Data/par_epi.r examples/Exaplanets (mass and Kepler's laws recovery)/Keppler64coresGMJMCMC.r examples/Exaplanets (mass and Kepler's laws recovery)/tests/EXA1.r examples/Exaplanets (mass and Kepler's laws recovery)/tests/JA32.r examples/Exaplanets (mass and Kepler's laws recovery)/tests/exaplanets.R examples/Exaplanets (mass and Kepler's laws recovery)/tests/exaplanets2.r examples/Exaplanets (mass and Kepler's laws recovery)/tests/exaplanetsparal.R examples/Exaplanets (mass and Kepler's laws recovery)/tests/exaplanetsparal2.R examples/Exaplanets (mass and Kepler's laws recovery)/tests/postproc.R examples/Exaplanets (mass and Kepler's laws recovery)/tests/postprocmass.R examples/Exaplanets (mass and Kepler's laws recovery)/tests/repair.r examples/Exaplanets (mass and Kepler's laws recovery)/tests/simplify.R examples/Fisheries/fisheries.R examples/GWAS/1stage_mjmcmc_gwas.r examples/GWAS/1stage_mjmcmc_gwas_mAIC2.r examples/GWAS/2stage3_mjmcmc_gwas.r examples/GWAS/2stage3_mjmcmc_maic2_gwas.r examples/GWAS/2stage4_mjmcmc_gwas.r examples/GWAS/2stage_mjmcmc_gwas.r examples/GWAS/2stage_mjmcmc_gwas_mAIC2.r examples/GWAS/3stage_mjmcmc_gwas.r examples/GWAS/3stage_mjmcmc_gwas_mAIC2.r examples/GWAS/4stage_mjmcmc_gwas.r examples/GWAS/4stage_mjmcmc_gwas_mAIC2.r examples/GWAS/gmjmcmc_gwas.r examples/GWAS/gmjmcmc_gwas_2_maic2.r examples/GWAS/gmjmcmc_gwas_3_maic2.r examples/GWAS/gmjmcmc_gwas_4_maic2.r examples/GWAS/gmjmcmc_gwas_4_maic2v2.r examples/GWAS/gmjmcmc_gwas_one_long_chain.r examples/GWAS/knockoffs.r examples/GWAS/knockoffsalt.r examples/GWAS/mjmcmc_gwas.r examples/GWAS/runmosgwapar.r examples/GWAS/test_crit.r examples/Logic Regression/alzheimer study/qtlsimAlzg.r examples/Logic Regression/logscenario1/gqtlsim1log.r examples/Logic Regression/logscenario1/qtlsim1logOld.r examples/Logic Regression/logscenario2/gqtlsim2log.r examples/Logic Regression/logscenario2/qtlsim2log.r examples/Logic Regression/logscenario3/._gqtlsim3log.r examples/Logic Regression/logscenario3/gqtlsim3log.r examples/Logic Regression/logscenario3/qtlsim3log.r examples/Logic Regression/logscenario3/qtlsim3logplusg.r examples/Logic Regression/other stuff/correlated_leaves.r examples/Logic Regression/other stuff/correlated_leaves_reff.r examples/Logic Regression/powercurves/buildcurves.r examples/Logic Regression/powercurves/powerqtlsim2.r examples/Logic Regression/powercurves/powerqtlsim3.r examples/Logic Regression/scenario1/gqtlsim1.r examples/Logic Regression/scenario1/postproceed.r examples/Logic Regression/scenario1/qtlsim1.r examples/Logic Regression/scenario2/gqtlsim2.r examples/Logic Regression/scenario2/qtlsim2.r examples/Logic Regression/scenario3/gqtlsim3.r examples/Logic Regression/scenario3/qtlsim3.r examples/Protein Activity Data/BAS/allmodels.r examples/Protein Activity Data/BAS/bindec.r examples/Protein Activity Data/BAS/plots.r examples/Protein Activity Data/BAS/repeatsamp.r examples/Protein Activity Data/BAS/sample.r examples/Protein Activity Data/BAS/tables.r examples/Protein Activity Data/Protein activity data longer.r examples/Protein Activity Data/Protein activity data pen.r examples/Protein Activity Data/Protein activity data.r examples/Protein Activity Data/comparewithess.R examples/QTL logic regression (trash)/FBLR.r examples/QTL logic regression (trash)/HPC.r examples/QTL logic regression (trash)/HPC2.r examples/QTL logic regression (trash)/HPC3.r examples/QTL logic regression (trash)/HPC_logistic1.r examples/QTL logic regression (trash)/HPCrealsim.r examples/QTL logic regression (trash)/MCLRPRIOR.r examples/QTL logic regression (trash)/MCLR_library_V3.r examples/QTL logic regression (trash)/Multi_Variable_Model.r examples/QTL logic regression (trash)/QTL logic regression backup 1000 data points/MCLR_library_V3.r examples/QTL logic regression (trash)/QTL logic regression backup 1000 data points/Multi_Variable_Model.r examples/QTL logic regression (trash)/QTL logic regression backup 1000 data points/epigendata.r examples/QTL logic regression (trash)/QTL logic regression backup 1000 data points/postprocSINGL.R examples/QTL logic regression (trash)/QTL logic regression backup 1000 data points/postproceed.r examples/QTL logic regression (trash)/QTL logic regression backup 1000 data points/proceed_results.R examples/QTL logic regression (trash)/QTL logic regression backup 1000 data points/simulations.R examples/QTL logic regression (trash)/arasisqtldata.R examples/QTL logic regression (trash)/logResMcpu.r examples/QTL logic regression (trash)/newViennaData.r examples/QTL logic regression (trash)/postanalysys.R examples/QTL logic regression (trash)/proceed_results.R examples/QTL logic regression (trash)/real.r examples/QTL logic regression (trash)/sim gmj/simjmj.r examples/QTL logic regression (trash)/simulations.R examples/Simulated Data (Example 1)/BAS/allmodels.r examples/Simulated Data (Example 1)/BAS/bindec.r examples/Simulated Data (Example 1)/BAS/plots.r examples/Simulated Data (Example 1)/BAS/repeatsamp.r examples/Simulated Data (Example 1)/BAS/sample.r examples/Simulated Data (Example 1)/BAS/tables.r examples/Simulated Data (Example 1)/mode_jumping_package_class_simulated_bas_data_1906.r examples/Simulated Data (Example 1)/mode_jumping_package_class_simulated_bas_data_3211.r examples/Simulated Data (Example 1)/plotsmultimod.R examples/Simulated Logistic Data With Multiple Modes (Example 3)/BAS/allmodels.r examples/Simulated Logistic Data With Multiple Modes (Example 3)/BAS/bindec.r examples/Simulated Logistic Data With Multiple Modes (Example 3)/BAS/plots.r examples/Simulated Logistic Data With Multiple Modes (Example 3)/BAS/repeatsamp.r examples/Simulated Logistic Data With Multiple Modes (Example 3)/BAS/sample.r examples/Simulated Logistic Data With Multiple Modes (Example 3)/BAS/tables.r examples/Simulated Logistic Data With Multiple Modes (Example 3)/mode_jumping_package_class_example3_10000.r examples/Simulated Logistic Data With Multiple Modes (Example 3)/mode_jumping_package_class_example3_5000.r examples/US crime Data/BAS/allmodels.r examples/US crime Data/BAS/bindec.r examples/US crime Data/BAS/plots.r examples/US crime Data/BAS/repeatsamp.r examples/US crime Data/BAS/sample.r examples/US crime Data/BAS/tables.r examples/US crime Data/mode_jumping_package_class_crime_bas_data_1909.r examples/US crime Data/mode_jumping_package_class_crime_bas_data_3237.r examples/abalone/abalone BGNLM aic.R examples/abalone/abalone BGNLM.R examples/abalone/abolone BGNLM single .R examples/abalone/abolone BGNLM single aic.R examples/abalone/abolone competitors.R examples/abalone/abolone single aic.R examples/abalone/abolone single.R examples/asteroid data/NASA challenge.r examples/banking/banking.r examples/comparison of mlik methods/compare mlikers.R examples/comparison of mlik methods/example1_mlikers.R examples/comparison of mlik methods/example2_mlikers.R examples/comparison of mlik methods/example2final_mlikers.R examples/comparison of mlik methods/example3_mlikers.R examples/comparison of mlik methods/example3final_mlikers.R examples/comparison of mlik methods/example4_mlikers.R examples/comparison of mlik methods/example4final_mlikers.R examples/comparison of mlik methods/example_logit_mlikers.R examples/comparison of mlik methods/mixed_model.R examples/drosophila classification/simulated.R examples/drosophila classification/simulated_deep.R examples/drosophila classification/species.R examples/drosophila classification/species_deep.R examples/fromT/logicRegr.R examples/fromT/test.R examples/keppler/._JA32new.r examples/keppler/._postprockepller.R examples/keppler/16cpuGM/JA16old.r examples/keppler/16cpuRGM/._JA16new.r examples/keppler/16cpuRGM/JA16new.r examples/keppler/1cpuGM/JA1old.r examples/keppler/1cpuRGM/JA1new.r examples/keppler/64cpuGM/JA64old.r examples/keppler/64cpuRGM/JA64new.r examples/keppler/JA32new.r examples/keppler/JA32old.r examples/keppler/postprockepller.R examples/masses/16massNew/JM16new.r examples/masses/16massOld/JM16old.r examples/masses/16massRGMJ/JM16new.r examples/masses/16massRMJ/JM16old.r examples/masses/1massNew/JM1new.r examples/masses/1massOld/JM1old.r examples/masses/4massNew/JM4new.r examples/masses/4massOld/JM4old.r examples/masses/64massNew/JM64new.r examples/masses/64massOld/JM64old.r examples/neo classification/asteroids.R examples/neo classification/asteroids_withfeatures.R examples/newspop/news BGNLM single.R examples/newspop/news BGNLM.R examples/newspop/news competitors.R examples/newspop/news single.R examples/runemjmcm/install/install.R examples/runemjmcm/runemjmcmc.R examples/runemjmcm/small example.R examples/simple calls/kepler simple.R examples/spam data/spam_compare.R examples/spam data/spam_compare_other.R examples/spam data/spam_nn.R examples/voice recognition/voice.R examples/voice recognition/voice_bin.R examples/wine quality/wine BGNLM aic.R examples/wine quality/wine BGNLM.R examples/wine quality/wine competitors.R man/EMJMCMC.Rd man/LogicRegr.Rd man/do.call.emjmcmc.rd man/erf.rd man/estimate.bas.glm.rd man/estimate.bas.lm.rd man/estimate.bigm.rd man/estimate.elnet.rd man/estimate.glm.rd man/estimate.inla.rd man/estimate.logic.glm.rd man/estimate.logic.lm.rd man/estimate.speedglm.rd man/factorial.Rd man/m.Rd man/parall.gmj.rd man/parallelize.rd man/pinferunemjmcmc.Rd man/sigmoid.rd man/simplify.formula.rd man/simplifyposteriors.rd papers/deep-bayesian-regression-unblinded.pdf papers/estimating-marginal-likelihood.pdf papers/logic regression unblined.pdf papers/mode-jumping-mcmc-latest-version.pdf papers/paper_short.pdf papers/supplementary-material-algorithmic.pdf presentations/Nord Stat 2016 Hubin.pdf presentations/PhD trial lecture rjmcmc.pdf presentations/Poster(Copenhagen).pdf presentations/Presentation for supervisors.pdf presentations/Presentation(Astrophysics).pdf presentations/Presentation(Dubrovnik).pdf presentations/Presentation(Minsk).pdf presentations/Presentation(Norbis).pdf presentations/Presentation(Third Semester Meeting).pdf presentations/Presentation(Vienna).pdf presentations/Presentation(statistics in genetics).pdf presentations/b4_hubin_deep-regression-slides_focustat.pdf presentations/dbrm-poster.pdf presentations/deep-regression-tartu.pdf presentations/graybill-poster.pdf presentations/ml at uio.pdf presentations/phd dsiputation presentation.pdf presentations/presentation_CDAM.pdf presentations/presentation_imaguru.pdf presentations/presentation_klaekken.pdf submitted/aliaksah-EMJMCMC2016-04a333b/R/the_mode_jumping_package2.r submitted/aliaksah-EMJMCMC2016-04a333b/README.md submitted/aliaksah-EMJMCMC2016-04a333b/ReadMe.pdf supplementaries/A Bayesian Binomial Regression Model with Latent Gaussian Processes for Modelling DNA Methylation/full_script.r supplementaries/BFP/abalone BFP interactions.R supplementaries/BFP/abalone BFP.R supplementaries/BFP/abolone FPs competitors.R supplementaries/BFP/breast cancer FP BIC interactions.R supplementaries/BFP/breast cancer FP BIC.R supplementaries/BFP/breast cancer FP competitors.R supplementaries/BFP/simulations.R supplementaries/BFP/survBFP.R supplementaries/BFP/survBFPinteract.R supplementaries/BFP/survBGLM.R 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supplementaries/Bayesian Logic Regression/rejoinder/qtlsim5Gcorr.r supplementaries/Bayesian Logic Regression/rejoinder/qtlsim5GcorrQtl.r supplementaries/Bayesian Logic Regression/rejoinder/qtlsim5Jefcorr.r supplementaries/Bayesian Logic Regression/rejoinder/qtlsim5JefcorrQtl.r supplementaries/Bayesian Logic Regression/rejoinder/tutorial.R supplementaries/Bayesian Logic Regression/sensitivity/sensitivity.r supplementaries/Bayesian Logic Regression/sensitivity/sensitivitycurves.r supplementaries/Bayesian Logic Regression/simple usage/inference_help.r supplementaries/Bayesian Logic Regression/simple usage/tutorial.R supplementaries/Bayesian Logic Regression/simulations/scenario1/qtlsim1logG.r supplementaries/Bayesian Logic Regression/simulations/scenario1/qtlsim1logJef.r supplementaries/Bayesian Logic Regression/simulations/scenario2/qtlsim2logG.r supplementaries/Bayesian Logic Regression/simulations/scenario2/qtlsim2logJef.r supplementaries/Bayesian Logic 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MCMC/supplementary/examples/BAS archive/BAS/R/coefficients.R supplementaries/Mode Jumping MCMC/supplementary/examples/BAS archive/BAS/R/coefpriors.R supplementaries/Mode Jumping MCMC/supplementary/examples/BAS archive/BAS/R/eplogprob.R supplementaries/Mode Jumping MCMC/supplementary/examples/BAS archive/BAS/R/glm-fit.R supplementaries/Mode Jumping MCMC/supplementary/examples/BAS archive/BAS/R/hypergeometric2F1.R supplementaries/Mode Jumping MCMC/supplementary/examples/BAS archive/BAS/R/image.bma.R supplementaries/Mode Jumping MCMC/supplementary/examples/BAS archive/BAS/R/modelpriors.R supplementaries/Mode Jumping MCMC/supplementary/examples/BAS archive/BAS/R/plot.bma.R supplementaries/Mode Jumping MCMC/supplementary/examples/BAS archive/BAS/R/predict.bma.R supplementaries/Mode Jumping MCMC/supplementary/examples/BAS archive/BAS/R/summary.bma.R supplementaries/Mode Jumping MCMC/supplementary/examples/BAS archive/BAS/R/update.bma.R supplementaries/Mode Jumping 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