tag:joss.theoj.org,2005:/papers/reviewed_by/@soodokuJournal of Open Source Software2022-01-13T17:26:35ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/32672022-01-13T17:26:35Z2022-01-14T00:01:04ZmixR: An R package for Finite Mixture Modeling for Both Raw and Binned Dataaccepted0.2.02021-12-29 06:12:23 UTC692022-01-13 17:26:35 UTC720224031YoujiaoYuDepartment of Statistical Science, Baylor University0000-0003-0519-960510.21105/joss.04031https://doi.org/10.5281/zenodo.5842096R, C++https://joss.theoj.org/papers/10.21105/joss.04031.pdfmixture models, EM algorithm, model selectiontag:joss.theoj.org,2005:Paper/22332021-12-08T09:57:12Z2022-01-10T13:58:06Zsamplics: a Python Package for selecting, weighting and analyzing data from complex sampling designs.accepted0.2.62020-12-13 00:23:03 UTC682021-12-08 09:57:12 UTC620213376MamadouS.DialloUNICEF, The United Nations Children's Fund0000-0002-0376-363110.21105/joss.03376https://doi.org/10.5281/zenodo.5750761Pythonhttps://joss.theoj.org/papers/10.21105/joss.03376.pdfSurvey sampling, small area estimation, Official statisticstag:joss.theoj.org,2005:Paper/23632021-06-06T09:37:22Z2021-06-07T00:01:24Zgmr: Gaussian Mixture Regressionaccepted1.42021-01-30 19:54:16 UTC622021-06-06 09:37:22 UTC620213054AlexanderFabischRobotics Innovation Center, DFKI GmbH, Bremen, Germany0000-0003-2824-795610.21105/joss.03054https://doi.org/10.5281/zenodo.4449631Pythonhttps://joss.theoj.org/papers/10.21105/joss.03054.pdfmachine learning, regressiontag:joss.theoj.org,2005:Paper/20632021-02-21T11:42:08Z2021-02-22T00:01:27ZCoPro: a data-driven modelling framework for conflict risk projectionsacceptedv0.0.52020-10-07 20:58:46 UTC582021-02-21 11:42:08 UTC620212855JannisM.HochDepartment of Physical Geography, Utrecht University, Utrecht, the Netherlands0000-0003-3570-6436Sophiede BruinDepartment of Physical Geography, Utrecht University, Utrecht, the Netherlands, PBL Netherlands Environmental Assessment Agency, the Hague, the Netherlands0000-0003-3429-349XNikoWandersDepartment of Physical Geography, Utrecht University, Utrecht, the Netherlands0000-0002-7102-545410.21105/joss.02855https://doi.org/10.5281/zenodo.4548904Python, Jupyter Notebookhttps://joss.theoj.org/papers/10.21105/joss.02855.pdfclimate change, projections, conflict, climate security, water, risktag:joss.theoj.org,2005:Paper/12282019-12-02T14:27:52Z2021-02-15T11:31:35Ztabula: An R Package for Analysis, Seriation, and Visualization of Archaeological Count Dataacceptedv1.3.02019-09-20 13:21:42 UTC442019-12-02 14:27:52 UTC420191821NicolasFrerebeauIRAMAT-CRP2A (UMR 5060 - CNRS, Université Bordeaux Montaigne), Laboratoire de Mathématiques Jean Leray (UMR 6629 - CNRS, Université de Nantes)0000-0001-5759-494410.21105/joss.01821https://doi.org/10.5281/zenodo.3552904Rhttps://joss.theoj.org/papers/10.21105/joss.01821.pdfarchaeology, matrix seriation, chronology, diversity measurementtag:joss.theoj.org,2005:Paper/10182019-11-17T18:22:14Z2021-02-15T11:32:08Zhopit: An R Package for Analysis of Reporting Behavior Using Generalized Ordered Probit Modelsaccepted0.9.2.90002019-05-28 16:45:51 UTC432019-11-17 18:22:14 UTC420191508MaciejJ.DańkoMax Planck Institute for Demographic Research, Rostock, Germany0000-0002-7924-902210.21105/joss.01508https://doi.org/10.5281/zenodo.3530634R, C++https://joss.theoj.org/papers/10.21105/joss.01508.pdfself-reported status, reporting heterogeneity, reporting behavior, latent index, latent health, disability weightstag:joss.theoj.org,2005:Paper/5662018-12-05T17:50:09Z2021-02-15T11:33:10ZOverlapping: a R package for Estimating Overlapping in Empirical Distributionsacceptedv1.5.02018-07-23 15:50:11 UTC322018-12-05 17:50:09 UTC320181023MassimilianoPastoreDepartment of Developmental and Social Psychology, University of Padova10.21105/joss.01023https://doi.org/10.5281/zenodo.1920397Rhttps://joss.theoj.org/papers/10.21105/joss.01023.pdfstatisticstag:joss.theoj.org,2005:Paper/5212018-08-04T17:58:22Z2021-02-15T11:33:18Zukpopulation: unified national and subnational population estimates and projections, including variantsaccepted1.0.12018-06-19 09:26:17 UTC282018-08-04 17:58:22 UTC32018803AndrewP.SmithSchool of Geography and Leeds Institute for Data Analytics, University of Leeds0000-0002-9951-6642TomRussellEnvironmental Change Institute, School of Geography and the Environment, University of Oxford0000-0002-0081-400X10.21105/joss.00803https://doi.org/10.5281/zenodo.1328267Pythonhttps://joss.theoj.org/papers/10.21105/joss.00803.pdfpython, data science, population, projection