tag:joss.theoj.org,2005:/papers/reviewed_by/@strengejackeJournal of Open Source Software2023-09-26T10:32:27ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/45242023-09-26T10:32:27Z2023-10-24T13:30:07ZBernadette: Bayesian Inference and Model Selection for Stochastic Epidemics in Racceptedv.1.1.42023-06-04 21:22:05 UTC892023-09-26 10:32:27 UTC820235612LamprosBouranisDepartment of Statistics, Athens University of Economics and Business, Athens, Greece0000-0002-1291-219210.21105/joss.05612https://doi.org/10.5281/zenodo.8376673R, C++, Stanhttps://joss.theoj.org/papers/10.21105/joss.05612.pdfBayesian, Epidemicstag:joss.theoj.org,2005:Paper/32682022-05-04T14:47:52Z2022-05-05T00:00:51ZAPCtools: Descriptive and Model-based Age-Period-Cohort Analysisaccepted1.0.02022-01-02 13:58:16 UTC732022-05-04 14:47:52 UTC720224056AlexanderBauerStatistical Consulting Unit StaBLab, Department of Statistics, LMU Munich, Germany0000-0003-3495-5131MaximilianWeigertStatistical Consulting Unit StaBLab, Department of Statistics, LMU Munich, Germany0000-0003-4400-134XHawreJalalDepartment of Health Policy and Management, Graduate School of Public Health, University of Pittsburgh.0000-0002-8224-683410.21105/joss.04056https://doi.org/10.5281/zenodo.6514036Rhttps://joss.theoj.org/papers/10.21105/joss.04056.pdfStatistical analysis, APC analysis, Age period cohort analysis, Hexamapstag:joss.theoj.org,2005:Paper/27662021-10-07T16:04:09Z2022-01-18T12:08:50Zindividual: An R package for individual-based epidemiological modelsacceptedv0.1.12021-06-16 08:16:52 UTC662021-10-07 16:04:09 UTC620213539GiovanniD.CharlesMRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), Imperial College London, London, UK.SeanL.WuDivision of Epidemiology and Biostatistics, School of Public Health, University of California, Berkeley, CA 94720, USA0000-0002-5781-949310.21105/joss.03539https://doi.org/10.5281/zenodo.5529932R, C++, Chttps://joss.theoj.org/papers/10.21105/joss.03539.pdfepidemiology, individual based, agent based, infectious disease, simulation, stochastictag:joss.theoj.org,2005:Paper/14712020-05-01T16:13:08Z2021-02-15T11:31:02Zmimosa: A Modern Graphical User Interface for 2-level Mixed Modelsacceptedv0.2.02020-02-06 09:05:06 UTC492020-05-01 16:13:08 UTC520202116JohannesTitzDepartment of Psychology, TU Chemnitz, Germany0000-0002-1102-571910.21105/joss.02116https://doi.org/10.5281/zenodo.3775143Rhttps://joss.theoj.org/papers/10.21105/joss.02116.pdfmixed models, hierarchical linear models, shinytag:joss.theoj.org,2005:Paper/6292019-12-02T19:27:34Z2021-02-15T11:32:59ZtidyLPA: An R Package to Easily Carry Out Latent Profile Analysis (LPA) Using Open-Source or Commercial Softwareaccepted0.2.1 (development version; most recent CRAN version is 0.2.0)2018-09-16 18:42:50 UTC302019-12-02 19:27:34 UTC32018978JoshuaM.RosenbergUniversity of Tennessee, Knoxville0000-0003-2170-0447PatrickN.BeymerMichigan State University0000-0002-3569-2305DanielJ.AndersonUniversity of Oregon0000-0003-4699-4680C.j.van LissaUtrecht University0000-0002-0808-5024JenniferA.SchmidtMichigan State University0000-0003-2853-980110.21105/joss.00978https://doi.org/10.5281/zenodo.1455773Rhttps://joss.theoj.org/papers/10.21105/joss.00978.pdfmixture modeling, Latent Profile Analysis, MPlustag:joss.theoj.org,2005:Paper/11042019-07-30T07:32:47Z2021-02-15T11:31:57Zlfda: Local Fisher Discriminant Analysis in Racceptedv1.1.22019-07-13 20:14:45 UTC392019-07-30 07:32:47 UTC420191572YuanTangAnt Financial Services Group, San Mateo, CA 94402, USA0000-0001-5243-233XWenxuanLiPurdue University, West Lafayette, IN 47907, USA10.21105/joss.01572https://doi.org/10.5281/zenodo.3352038Rhttps://joss.theoj.org/papers/10.21105/joss.01572.pdfdistance metric learning, statistics, clustering, machine learning, dimensionality reduction, local fisher discriminant analysistag:joss.theoj.org,2005:Paper/8402019-02-26T16:01:02Z2021-02-15T11:32:35ZgetTBinR: an R package for accessing and summarising the World Health Organisation Tuberculosis dataacceptedv0.5.72019-01-29 17:15:22 UTC342019-02-26 16:01:02 UTC420191260SamAbbottBristol Medical School: Population Health Sciences, University of Bristol, Bristol, UK0000-0001-8057-803710.21105/joss.01260https://doi.org/10.5281/zenodo.2547405Rhttps://joss.theoj.org/papers/10.21105/joss.01260.pdfrstats, World Health Organisation, Open Data, Visualisation, Infectious Disease, Tuberculosistag:joss.theoj.org,2005:Paper/5282018-08-10T16:24:00Z2021-02-15T11:33:17Zsigmajs: An R htmlwidget interface to the sigma.js visualization libraryacceptedv0.1.02018-06-27 14:08:10 UTC282018-08-10 16:24:00 UTC32018814Jean-PhilippeCoeneDepartment of Public Engagement at the World Economic Forum0000-0002-6637-410710.21105/joss.00814https://doi.org/10.5281/zenodo.1342765R, JavaScripthttps://joss.theoj.org/papers/10.21105/joss.00814.pdfnetwork analysis, visualisationtag:joss.theoj.org,2005:Paper/5682018-08-06T14:48:45Z2021-02-15T11:33:10ZlogKDE: log-transformed kernel density estimationacceptedv0.3.12018-07-24 10:43:23 UTC282018-08-06 14:48:45 UTC32018870AndrewT.JonesSchool of Mathematics and Physics, University of Queensland, St. Lucia 4072, Queensland AustraliaHienD.NguyenDepartment of Mathematics and Statistics, La Trobe University, Bundoora 3086, Victoria Australia0000-0002-9958-432XGeoffreyJ.McLachlanSchool of Mathematics and Physics, University of Queensland, St. Lucia 4072, Queensland Australia10.21105/joss.00870https://doi.org/10.5281/zenodo.1339352R, C++https://joss.theoj.org/papers/10.21105/joss.00870.pdfdata visualization, exploratory data analysis, non-parametric, positive data, probability density function