Files in sshpa/bayesvl

Visually Learning the Graphical Structure of Bayesian Networks and Performing MCMC with 'Stan'

BayesVL Package for Bayesian Statistical Analyses in R.pdf BayesVL Versioning.pdf CHANGELOG.md LectureNotes/1.Model_1a.R LectureNotes/2.1042/2.Model_2a.R LectureNotes/2.1042/2.Model_2a_logit.R LectureNotes/2.1042/2.Model_2b.R LectureNotes/2.1042/2.Model_2c_failed.R LectureNotes/3.FolkTales/3.Model_3a(rethinking).R LectureNotes/3.FolkTales/3.Model_3a.R LectureNotes/3.FolkTales/3.Model_3b (mT2).R LectureNotes/3.FolkTales/3.Model_3c (mB1).R LectureNotes/3.FolkTales/Graphs/Fig.10_Lie_Viol.pdf LectureNotes/3.FolkTales/Graphs/Fig.11.pdf LectureNotes/3.FolkTales/Graphs/Fig.12.pdf LectureNotes/3.FolkTales/Graphs/Fig.13.pdf LectureNotes/3.FolkTales/Graphs/Fig.14.pdf LectureNotes/3.FolkTales/Graphs/Fig.15.pdf LectureNotes/3.FolkTales/Graphs/Fig.16.pdf LectureNotes/3.FolkTales/Graphs/Fig.17a.pdf LectureNotes/3.FolkTales/Graphs/Fig.17b.pdf LectureNotes/3.FolkTales/Graphs/Fig.18.pdf LectureNotes/3.FolkTales/Graphs/Fig.19.pdf LectureNotes/3.FolkTales/Graphs/Fig.2.pdf LectureNotes/3.FolkTales/Graphs/Fig.3_trace.pdf LectureNotes/3.FolkTales/Graphs/Fig.3a.pdf LectureNotes/3.FolkTales/Graphs/Fig.3b.pdf LectureNotes/3.FolkTales/Graphs/Fig.4_intervals.pdf LectureNotes/3.FolkTales/Graphs/Fig.5_hist.pdf LectureNotes/3.FolkTales/Graphs/Fig.6_Lie_intervals.pdf LectureNotes/3.FolkTales/Graphs/Fig.7_Lie_dens.pdf LectureNotes/3.FolkTales/Graphs/Fig.8_Viol_intevals.pdf LectureNotes/3.FolkTales/Graphs/Fig.9_Viol_dens.pdf LectureNotes/4.Stem/4.Model_4a (stem).R LectureNotes/4.Stem/4.Model_4b (stem).R LectureNotes/4.Stem/4.Model_4b1 (stem).R LectureNotes/4.Stem/4.Model_4c (stem).R LectureNotes/4.Stem/Graphs/4a/Fig.10.pdf LectureNotes/4.Stem/Graphs/4a/Fig.11.pdf LectureNotes/4.Stem/Graphs/4a/Fig.12.pdf LectureNotes/4.Stem/Graphs/4a/Fig.13.pdf LectureNotes/4.Stem/Graphs/4a/Fig.14.pdf LectureNotes/4.Stem/Graphs/4a/Fig.15.pdf LectureNotes/4.Stem/Graphs/4a/Fig.16.pdf LectureNotes/4.Stem/Graphs/4a/Fig.19.pdf LectureNotes/4.Stem/Graphs/4a/Fig.2.pdf LectureNotes/4.Stem/Graphs/4a/Fig.20.pdf LectureNotes/4.Stem/Graphs/4a/Fig.21.pdf LectureNotes/4.Stem/Graphs/4a/Fig.22.pdf LectureNotes/4.Stem/Graphs/4a/Fig.23.pdf LectureNotes/4.Stem/Graphs/4a/Fig.24.pdf LectureNotes/4.Stem/Graphs/4a/Fig.4_intervals.pdf LectureNotes/4.Stem/Graphs/4a/Fig.5_intervals.pdf LectureNotes/4.Stem/Graphs/4a/Fig.6.pdf LectureNotes/4.Stem/Graphs/4a/Fig.7.pdf LectureNotes/4.Stem/Graphs/APS45_hist.pdf LectureNotes/5.DKAP/5.Model_5a (dkap).R LectureNotes/5.DKAP/Graph_5a/Fig.1_Trace.pdf LectureNotes/5.DKAP/Graph_5a/Fig.2_Intervals.pdf LectureNotes/5.DKAP/Graph_5a/Fig.3_Intevals(Edu_Eco).pdf LectureNotes/5.DKAP/Graph_5a/Fig.4_Dens.pdf LectureNotes/5.DKAP/Graph_5a/Fig.5_schools.pdf LectureNotes/5.DKAP/Graph_5a/Fig.6_ecostt_edufat.pdf LectureNotes/5.DKAP/Graph_5a/Fig.6_edumot_edufat.pdf LectureNotes/5.DKAP/Graph_5c/Fig.1_Trace.pdf LectureNotes/5.DKAP/Graph_5c/Fig.2_Intervals.pdf LectureNotes/5.DKAP/Graph_5c/Fig.3_Intervals(sex).pdf LectureNotes/5.DKAP/Graph_5c/Fig.7_Dens.pdf LectureNotes/5.DKAP/Graph_5c/Fig.8_schools.pdf LectureNotes/6.1.SSHPA(top affiliations)/6.1.Model_6a (topaffil).R LectureNotes/6.1.SSHPA(top affiliations)/Graphs/bvl_Fig10.pdf LectureNotes/6.1.SSHPA(top affiliations)/Graphs/bvl_Fig11.pdf LectureNotes/6.1.SSHPA(top affiliations)/Graphs/bvl_Fig2.pdf LectureNotes/6.1.SSHPA(top affiliations)/Graphs/bvl_Fig3.pdf LectureNotes/6.1.SSHPA(top affiliations)/Graphs/bvl_Fig3a_1.pdf LectureNotes/6.1.SSHPA(top affiliations)/Graphs/bvl_Fig3a_2.pdf LectureNotes/6.1.SSHPA(top affiliations)/Graphs/bvl_Fig3b_1.pdf LectureNotes/6.1.SSHPA(top affiliations)/Graphs/bvl_Fig3b_2.pdf LectureNotes/6.1.SSHPA(top affiliations)/Graphs/bvl_Fig4.pdf LectureNotes/6.1.SSHPA(top affiliations)/Graphs/bvl_Fig6.pdf LectureNotes/6.1.SSHPA(top affiliations)/Graphs/bvl_Fig7.pdf LectureNotes/6.SSHPA/1.Age_bayes.R LectureNotes/6.SSHPA/1.Age_data.R LectureNotes/6.SSHPA/2.Sex_bayes.R LectureNotes/6.SSHPA/2.Sex_data.R LectureNotes/6.SSHPA/3.NewAuthor_data.R LectureNotes/6.SSHPA/4.JIF_data.R LectureNotes/6.SSHPA/5.Leader_data.R LectureNotes/6.SSHPA/6.Model (sshpa).R LectureNotes/6.SSHPA/Graphs/Fig_1.11.pdf LectureNotes/6.SSHPA/Graphs/Fig_1.12.pdf LectureNotes/7.SciComm/ViewData.R LectureNotes/BayesVL Package for Bayesian Statistical Analyses in R.pdf R/bayesvl-class.r R/bayesvl-plots.r R/bayesvl-templates.r R/bayesvl.R R/bayesvl2stan.R R/utils.R README.md References/Note_2a_vn_v6.pdf References/Note_2b_vn_v3.pdf References/Reference #1. ESEMay19_corresp_vn.pdf References/Reference #2. Cultural additivity.pdf References/Reference #3. arXiv.1903.00817.pdf References/Reference #4. Health Care, Medical Insurance, and Economic Destitution.pdf References/Reference #5. Exploration of Youth's Digital Competencies.pdf References/[Read 1] Spatio-temporal bayesian modelling using R.pdf References/[Read 2] bssm.pdf References/[Read 3] Dealing with Stochastic Volatility in Time Series Using the R Package stochvol.pdf References/[Read 3] v69i05.R References/[Read 4] Bayesian Nonparametric Mixture Estimation for Time-Indexed Functional Data in R [v72i02].pdf References/[Read 4] v72i02.R References/bvl_ug_en08.pdf References/bvl_ug_vi08.pdf References/simulation_example.R examples/simulation_example.R man/Legends345.Rd man/bayesvl-class.Rd man/bayesvl.Rd man/graphs.Rd man/plots.Rd man/stan.Rd man/vl2bn.Rd