tag:joss.theoj.org,2005:/papers/reviewed_by/@cmaimoneJournal of Open Source Software2022-04-20T20:42:45ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/29972022-04-20T20:42:45Z2022-04-21T00:02:32Ztext2map: R Tools for Text Matricesaccepted0.1.02021-08-25 17:31:58 UTC722022-04-20 20:42:45 UTC720223741DustinS.StoltzLehigh University0000-0002-4774-0765MarshallA.TaylorNew Mexico State University0000-0002-7440-072310.21105/joss.03741https://doi.org/10.5281/zenodo.6472949Rhttps://joss.theoj.org/papers/10.21105/joss.03741.pdftext analysis, word embeddings, document-term matricestag:joss.theoj.org,2005:Paper/31842022-04-10T06:48:59Z2022-04-11T00:01:05Zsweater: Speedy Word Embedding Association Test and Extras Using Racceptedv0.1.02021-11-20 13:33:14 UTC722022-04-10 06:48:59 UTC720224036Chung-hongChanMannheimer Zentrum für Europäische Sozialforschung, Universität Mannheim0000-0002-6232-753010.21105/joss.04036https://doi.org/10.5281/zenodo.6421527R, Java, Python, C++https://joss.theoj.org/papers/10.21105/joss.04036.pdfword embedding, implicit bias, media bias, algorithmic accountabilitytag:joss.theoj.org,2005:Paper/28882021-12-10T17:52:19Z2021-12-19T12:03:28ZTaguette: open-source qualitative data analysisaccepted1.0.02021-07-17 19:18:55 UTC682021-12-10 17:52:19 UTC620213522RémiRampinIndependent Researcher0000-0002-0524-2282VickyRampinIndependent Researcher0000-0003-4298-168X10.21105/joss.03522https://doi.org/10.5281/zenodo.5574555Python, Makohttps://joss.theoj.org/papers/10.21105/joss.03522.pdfqualitative, qualitative data analysis, qual, document, text, tagging, tags, coding, highlights, notes, text-analysis, highlighting, caqdas, python, SQLitetag:joss.theoj.org,2005:Paper/29192021-10-08T12:21:05Z2021-10-09T00:01:57Zeyecite: A tool for parsing legal citationsacceptedv2.2.02021-08-04 02:02:44 UTC662021-10-08 12:21:05 UTC620213617JackCushmanHarvard University, Library Innovation LabMatthewDahlUniversity of Notre Dame, Department of Political ScienceMichaelLissnerFree Law Project10.21105/joss.03617https://doi.org/10.7910/DVN/STVKTEPythonhttps://joss.theoj.org/papers/10.21105/joss.03617.pdflaw, courtstag:joss.theoj.org,2005:Paper/24242021-07-20T15:44:51Z2021-07-21T00:03:16ZIDCeMPy: Python Package for Inflated Discrete Choice Modelsaccepted0.0.12021-02-19 16:26:57 UTC632021-07-20 15:44:51 UTC620213322NguyenK.HuynhDept. of Political Science, Pennsylvania State University0000-0002-6234-7232SergioBéjarDept. of Political Science, San Jose State University0000-0002-9352-3892VineetaYadavDept. of Political Science, Pennsylvania State UniversityBumbaMukherjeeDept. of Political Science, Pennsylvania State University10.21105/joss.03322https://doi.org/10.5281/zenodo.5112352Pythonhttps://joss.theoj.org/papers/10.21105/joss.03322.pdfPython, Inflated Ordered Probit Models, Generalized Inflated MNL Modelstag:joss.theoj.org,2005:Paper/18122020-09-09T17:11:18Z2021-02-15T11:30:23ZExtracting, Computing and Exploring the Parameters of Statistical Models using Raccepted0.8.12020-07-01 09:08:04 UTC532020-09-09 17:11:18 UTC520202445DanielLüdeckeUniversity Medical Center Hamburg-Eppendorf, Germany0000-0002-8895-3206MattanS.Ben-ShacharBen-Gurion University of the Negev, Israel0000-0002-4287-4801IndrajeetPatilMax Planck Institute for Human Development, Germany0000-0003-1995-6531DominiqueMakowskiNanyang Technological University, Singapore0000-0001-5375-996710.21105/joss.02445https://doi.org/10.5281/zenodo.4004846R, Rebolhttps://joss.theoj.org/papers/10.21105/joss.02445.pdfeasystats, parameters, regression, linear models, coefficients