tag:joss.theoj.org,2005:/papers/tagged/textJournal of Open Source Software2024-02-29T10:16:42ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/49002024-02-29T10:16:42Z2024-03-01T08:05:06ZA Python module to combine $p$ values arising from discrete tests.accepted1.2.12023-10-27 08:13:49 UTC942024-02-29 10:16:42 UTC920246096GerritAnsmannInstitute for Biological Physics, University of Cologne, Germany0000-0002-5472-706710.21105/joss.06096https://doi.org/10.5281/zenodo.8338798Pythonhttps://joss.theoj.org/papers/10.21105/joss.06096.pdfstatistics, hypothesis teststag:joss.theoj.org,2005:Paper/44612024-01-30T20:22:46Z2024-01-31T08:00:09ZTashaphyne: A Python package for Arabic Light Stemmingaccepted0.3.62023-04-28 18:16:32 UTC932024-01-30 20:22:46 UTC920246063TahaZerroukiBouira University, Bouira, Algeria0000-0001-9960-553310.21105/joss.06063https://doi.org/10.5281/zenodo.10570793Pythonhttps://joss.theoj.org/papers/10.21105/joss.06063.pdfArabic Language, Natural Language Processing, Text Preprocessing, Light Stemmingtag:joss.theoj.org,2005:Paper/45872023-10-30T21:01:26Z2023-10-31T20:12:32ZUQTestFuns: A Python3 library of uncertainty quantification (UQ) test functionsacceptedv0.4.02023-07-07 17:24:02 UTC902023-10-30 21:01:26 UTC820235671DamarWicaksonoCenter for Advanced Systems Understanding (CASUS) - Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Germany0000-0001-8587-7730MichaelHechtCenter for Advanced Systems Understanding (CASUS) - Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Germany0000-0001-9214-825310.21105/joss.05671https://doi.org/10.5281/zenodo.10047512Pythonhttps://joss.theoj.org/papers/10.21105/joss.05671.pdftest functions, benchmark, uncertainty quantification, metamodeling, surrogate modeling, sensitivity analysis, reliability analysis, rare event estimationtag:joss.theoj.org,2005:Paper/44582023-09-02T03:35:35Z2023-09-03T00:01:29ZElectricGrid.jl - A Julia-based modeling and simulation tool for power electronics-driven electric energy gridsacceptedv1.0.02023-04-28 13:51:00 UTC892023-09-02 03:35:35 UTC820235616OliverWallscheidChair of Power Electronics and Electrical Drives, Paderborn University, Paderborn, Germany0000-0001-9362-8777SebastianPeitzChair of Data Science for Engineering, Paderborn University, Paderborn, Germany0000-0002-3389-793XJanStennerChair of Data Science for Engineering, Paderborn University, Paderborn, GermanyDanielWeberChair of Power Electronics and Electrical Drives, Paderborn University, Paderborn, Germany0000-0003-3367-5998SeptimusBoshoffChair of Power Electronics and Electrical Drives, Paderborn University, Paderborn, GermanyMarvinMeyerChair of Power Electronics and Electrical Drives, Paderborn University, Paderborn, Germany0009-0008-2879-7118VikasChidanandaChair of Data Science for Engineering, Paderborn University, Paderborn, GermanyOliverSchweinsChair of Power Electronics and Electrical Drives, Paderborn University, Paderborn, Germany10.21105/joss.05616https://doi.org/10.5281/zenodo.8297533Juliahttps://joss.theoj.org/papers/10.21105/joss.05616.pdfElectric Grids, Microgrids, Reinforcement Learning, Energy Systems, Simulation, Testing, Controltag:joss.theoj.org,2005:Paper/43942023-08-14T09:08:18Z2023-08-16T09:04:23ZPAS: a Python Anesthesia Simulator for drug controlacceptedv0.0.42023-04-07 15:16:16 UTC882023-08-14 09:08:18 UTC820235480BobAubouin-PairaultUniv. Grenoble Alpes, CNRS, Grenoble INP, GIPSA-lab, 38000 Grenoble, France, Univ. Grenoble Alpes, CNRS, Grenoble INP, VERIMAG, 38000 Grenoble, France0000-0003-0029-438XMirkoFiacchiniUniv. Grenoble Alpes, CNRS, Grenoble INP, GIPSA-lab, 38000 Grenoble, France0000-0002-3601-0302ThaoDangUniv. Grenoble Alpes, CNRS, Grenoble INP, VERIMAG, 38000 Grenoble, France0000-0002-3637-141510.21105/joss.05480https://doi.org/10.5281/zenodo.8171326Pythonhttps://joss.theoj.org/papers/10.21105/joss.05480.pdfAnesthesia, Drug Control, Drug effect modelling, Test pipelinetag:joss.theoj.org,2005:Paper/41452023-06-24T19:41:17Z2023-06-25T00:01:04ZFast Resampling and Monte Carlo Methods in Pythonaccepted1.11.0.dev0+1225.ca8d4812023-01-04 00:32:58 UTC862023-06-24 19:41:17 UTC820235092MattHaberlandCalifornia Polytechnic State University, San Luis Obispo, USA0000-0003-4806-360110.21105/joss.05092https://doi.org/10.5281/zenodo.8031631Starlark, Python, Meson, Chttps://joss.theoj.org/papers/10.21105/joss.05092.pdfSciPy, statistics, bootstrap, confidence intervals, permutation tests, monte carlo methods, hypothesis testingtag:joss.theoj.org,2005:Paper/41522023-04-25T14:06:49Z2023-04-26T00:02:35ZTextDescriptives: A Python package for calculating a large variety of metrics from textacceptedv2.1.02023-01-06 10:36:03 UTC842023-04-25 14:06:49 UTC820235153LasseHansenDepartment of Affective Disorders, Aarhus University Hospital - Psychiatry, Aarhus, Denmark, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark, Center for Humanities Computing, Aarhus University, Aarhus, Denmark0000-0003-1113-4779LudvigRenboOlsenDepartment of Molecular Medicine (MOMO), Aarhus University, Aarhus, Denmark, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark0009-0006-6798-7454KennethEnevoldsenDepartment of Clinical Medicine, Aarhus University, Aarhus, Denmark, Center for Humanities Computing, Aarhus University, Aarhus, Denmark0000-0001-8733-096610.21105/joss.05153https://doi.org/10.5281/zenodo.7858731Pythonhttps://joss.theoj.org/papers/10.21105/joss.05153.pdfnatural language processing, spacy, feature extractiontag:joss.theoj.org,2005:Paper/38932023-04-20T13:40:05Z2023-04-23T06:14:25ZPyArabic: A Python package for Arabic textaccepted0.6.152022-09-12 23:52:31 UTC842023-04-20 13:40:05 UTC820234886TahaZerroukiBouira University, Bouira, Algeria0000-0001-9960-553310.21105/joss.04886https://doi.org/10.5281/zenodo.7833909Pythonhttps://joss.theoj.org/papers/10.21105/joss.04886.pdfArabic Language, Natural Language Processing, Text Preprocessingtag:joss.theoj.org,2005:Paper/41772023-04-12T07:57:07Z2023-04-13T00:02:38ZSDGdetector: an R-based text mining tool for quantifying efforts toward Sustainable Development Goalsacceptedv0.1.02023-01-23 18:53:40 UTC842023-04-12 07:57:07 UTC820235124YingjieLiCenter for Systems Integration and Sustainability, Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI 48823, United States, Environmental Science and Policy Program, Michigan State University, East Lansing, MI 48823, United States, Natural Capital Project, Woods Institute for the Environment, Stanford University, Stanford, CA, 94305, United States0000-0002-8401-0649VeronicaF.FransCenter for Systems Integration and Sustainability, Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI 48823, United States, Ecology, Evolution, and Behavior Program, Michigan State University, East Lansing, MI 48824, United States, W.K. Kellogg Biological Station, Michigan State University, Hickory Corners, MI 49060, United States0000-0002-5634-3956YongzeSongSchool of Design and the Built Environment, Curtin University, Perth, WA, 6102, Australia0000-0003-3420-9622MengCaiSchool of Planning, Design and Construction, Michigan State University, East Lansing, MI, 48824, United States, Department of Civil and Environmental Engineering, Technical University of Darmstadt, Darmstadt 64287, Germany0000-0002-8318-572XYuqianZhangCenter for Systems Integration and Sustainability, Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI 48823, United States, Environmental Science and Policy Program, Michigan State University, East Lansing, MI 48823, United States0000-0001-7576-2526JianguoLiuCenter for Systems Integration and Sustainability, Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI 48823, United States, Environmental Science and Policy Program, Michigan State University, East Lansing, MI 48823, United States0000-0001-6344-008710.21105/joss.05124https://doi.org/10.5281/zenodo.7775019Rhttps://joss.theoj.org/papers/10.21105/joss.05124.pdfSustainability, Sustainable Development Goals (SDGs), Text mining, Text analysistag:joss.theoj.org,2005:Paper/36532023-02-21T15:19:54Z2023-02-22T00:00:52ZdsBinVal: Conducting distributed ROC analysis using DataSHIELDacceptedv1.0.12022-06-13 12:52:25 UTC822023-02-21 15:19:54 UTC820234545DanielSchalkDepartment of Statistics, LMU Munich, Munich, Germany, DIFUTURE (DataIntegration for Future Medicine, www.difuture.de), LMU Munich, Munich, Germany, Munich Center for Machine Learning, Munich, Germany0000-0003-0950-1947VerenaSophiaHoffmannInstitute for Medical Information Processing, Biometry and Epidemiology, LMU Munich, Munich, Germany, DIFUTURE (DataIntegration for Future Medicine, www.difuture.de), LMU Munich, Munich, GermanyBerndBischlDepartment of Statistics, LMU Munich, Munich, Germany, Munich Center for Machine Learning, Munich, GermanyUlrichMansmannInstitute for Medical Information Processing, Biometry and Epidemiology, LMU Munich, Munich, Germany, DIFUTURE (DataIntegration for Future Medicine, www.difuture.de), LMU Munich, Munich, Germany10.21105/joss.04545https://doi.org/10.5281/zenodo.7634619Rhttps://joss.theoj.org/papers/10.21105/joss.04545.pdfDataSHIELD, distributed computing, distributed analysis, privacy-preserving, diagnostic tests, prognostic model, model validation, ROC-GLM, discrimination, calibration, Brier score