tag:joss.theoj.org,2005:/papers/tagged/quantitative%20analysis?page=2Journal of Open Source Software2018-10-06T11:16:06ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/5082018-10-06T11:16:06Z2021-02-15T11:33:20Zquanteda: An R package for the quantitative analysis of textual dataacceptedv1.22018-05-30 19:18:39 UTC302018-10-06 11:16:06 UTC32018774KennethBenoitDepartment of Methodology, London School of Economics and Political Science0000-0002-0797-564XKoheiWatanabeDepartment of Methodology, London School of Economics and Political Science0000-0001-6519-5265HaiyanWangDe Beers Inc.0000-0003-4992-4311PaulNultyCentre for Research in Arts, Social Science and Humanities, University of Cambridge0000-0002-7214-4666AdamObengFacebook, Inc. (work conducted at the Department of Methodology, London School of Economics and Political Science)0000-0002-2906-4775StefanMüllerDepartment of Political Science, Trinity College Dublin0000-0002-6315-4125AkitakaMatsuoDepartment of Methodology, London School of Economics and Political Science0000-0002-3323-633010.21105/joss.00774https://doi.org/10.5281/zenodo.1447219R, JavaScript, C++https://joss.theoj.org/papers/10.21105/joss.00774.pdftext mining, natural language processingtag:joss.theoj.org,2005:Paper/3182018-01-31T23:58:42Z2021-02-15T11:33:47ZBATMAN: Statistical analysis for expensive computer codes made easyacceptedv1.72017-11-29 10:59:49 UTC212018-01-31 23:58:42 UTC32018493PamphileT.RoyCERFACS, Toulouse, France0000-0001-9816-1416SophieRicciCERFACS, Toulouse, France0000-0002-4232-5626RomainDupuisIRT Saint Exupéry/CERFACS, Toulouse, FranceRobinCampetCERFACS, Toulouse, France0000-0002-4434-0854Jean-ChristopheJouhaudCERFACS, Toulouse, FranceCyrilFournierCERFACS, Toulouse, France10.21105/joss.00493https://doi.org/10.5281/zenodo.1163545Python, GLSLhttps://joss.theoj.org/papers/10.21105/joss.00493.pdfUncertainty Quantification, Statistical Analysis, Surrogate Model, Design of Experiments, Uncertainty Visualizationtag:joss.theoj.org,2005:Paper/592016-09-29T00:00:00Z2021-02-15T11:34:26ZPython Active-subspaces Utility Libraryacceptedv 0.12016-09-19 20:33:28 UTC52016-09-29 00:00:00 UTC1201679PaulConstantineColorado School of Mines, Golden, CO0000-0003-3726-6307RyanHowardColorado School of Mines, Golden, COAndrewGlawsColorado School of Mines, Golden, COZacharyGreyColorado School of Mines, Golden, COPaulDiazUniversity of Colorado Boulder, Boulder, COLeslieFletcherNone10.21105/joss.00079https://doi.org/10.5281/zenodo.158941Python, Jupyter Notebookhttps://joss.theoj.org/papers/10.21105/joss.00079.pdfpython, active subspaces, dimension reduction, uncertainty quantification, sensitivity analysis, surrogate modeling