tag:joss.theoj.org,2005:/papers/tagged/model%20fittingJournal of Open Source Software2023-09-15T22:14:43ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/45312023-09-15T22:14:43Z2023-09-16T00:01:22Zpysersic: A Python package for determining galaxy structural properties via Bayesian inference, accelerated with jaxacceptedv0.1.12023-06-07 14:31:39 UTC892023-09-15 22:14:43 UTC820235703ImadPashaDepartment of Astronomy, Yale University, USA, National Science Foundation Graduate Research Fellow0000-0002-7075-9931TimB.MillerDepartment of Astronomy, Yale University, USA0000-0001-8367-626510.21105/joss.05703https://doi.org/10.5281/zenodo.8335352https://joss.theoj.org/papers/10.21105/joss.05703.pdfPython, astronomy, galaxies, model fittingtag:joss.theoj.org,2005:Paper/43822023-06-26T19:52:42Z2023-06-30T13:27:07Ztehtuner: An R package to fit and tune models for the conditional average treatment effectacceptedv0.3.02023-04-02 04:08:10 UTC862023-06-26 19:52:42 UTC820235453JackM.WolfUniversity of Minnesota Division of Biostatistics, United States of America0000-0002-8919-874010.21105/joss.05453https://doi.org/10.5281/zenodo.8018280Rhttps://joss.theoj.org/papers/10.21105/joss.05453.pdfcausal inference, clinical trialstag:joss.theoj.org,2005:Paper/35092022-08-23T06:09:00Z2022-08-24T00:00:46Zgofcat: An R package for goodness-of-fit of categorical response modelsacceptedv0.1.22022-04-20 11:43:55 UTC762022-08-23 06:09:00 UTC720224382EjikeR.UgbaDepartment of Mathematics and Statistics, School of Economics and Social Sciences, Helmut Schmidt University, Hamburg, Germany0000-0003-2572-002310.21105/joss.04382https://doi.org/10.5281/zenodo.7015239Rhttps://joss.theoj.org/papers/10.21105/joss.04382.pdfproportional odds test, brant test, hosmer lemeshow test, pulkstenis robinson test, lipsitz test, logistic regression, ordinal regressiontag:joss.theoj.org,2005:Paper/23922021-05-04T14:32:29Z2021-05-05T00:02:34Zimodels: a python package for fitting interpretable modelsacceptedv0.2.72021-02-17 20:25:23 UTC612021-05-04 14:32:29 UTC620213192ChandanSinghEECS Department, University of California, Berkeley0000-0003-0318-2340KeyanNasseriEECS Department, University of California, BerkeleyYanShuoTanStatistics Department, University of California, BerkeleyTiffanyTangStatistics Department, University of California, BerkeleyBinYuEECS Department, University of California, Berkeley, Statistics Department, University of California, Berkeley10.21105/joss.03192https://doi.org/10.5281/zenodo.4026886Python, Jupyter Notebookhttps://joss.theoj.org/papers/10.21105/joss.03192.pdfpython, machine learning, interpretability, explainability, transparency, decision rulestag:joss.theoj.org,2005:Paper/19072021-02-05T18:18:40Z2021-02-15T11:30:13ZPyAutoFit: A Classy Probabilistic Programming Language for Model Composition and Fittingacceptedv0.64.32020-07-24 09:45:21 UTC582021-02-05 18:18:40 UTC620212550James.W.NightingaleInstitute for Computational Cosmology, Stockton Rd, Durham, United Kingdom, DH1 3LE0000-0002-8987-7401RichardG.HayesInstitute for Computational Cosmology, Stockton Rd, Durham, United Kingdom, DH1 3LEMatthewGriffithsConcR Ltd, London, UK0000-0002-2553-244710.21105/joss.02550https://doi.org/10.5281/zenodo.4497861Pythonhttps://joss.theoj.org/papers/10.21105/joss.02550.pdfstatistics, Bayesian inference, probabilistic programming, model fittingtag:joss.theoj.org,2005:Paper/20642021-02-04T19:27:07Z2021-02-15T11:29:52Zpyhf: pure-Python implementation of HistFactory statistical modelsacceptedv0.5.22020-10-07 23:25:38 UTC582021-02-04 19:27:07 UTC620212823LukasHeinrichCERN0000-0002-4048-7584MatthewFeickertUniversity of Illinois at Urbana-Champaign0000-0003-4124-7862GiordonStarkSCIPP, University of California, Santa Cruz0000-0001-6616-3433KyleCranmerNew York University0000-0002-5769-709410.21105/joss.02823https://doi.org/10.5281/zenodo.4318533Pythonhttps://joss.theoj.org/papers/10.21105/joss.02823.pdfphysics, high energy physics, statistical modeling, fitting, auto-differentiationtag:joss.theoj.org,2005:Paper/1572018-01-19T11:41:59Z2021-02-15T11:34:14ZFitting a Gamma-Gompertz survival model to capture-recapture data collected on free-ranging animal populationsacceptedv1.0.02017-02-28 13:25:55 UTC212018-01-19 11:41:59 UTC32018216GilbertMarzolinCentre National de la Recherche Scientifique0000-0002-7819-5739OlivierGimenezCentre National de la Recherche Scientifique0000-0001-7001-514210.21105/joss.00216https://doi.org/10.5281/zenodo.1154931Rhttps://joss.theoj.org/papers/10.21105/joss.00216.pdfgamma-gompertz, survival, capture-recapture, MCMC, data cloning, dippertag:joss.theoj.org,2005:Paper/1182016-12-20T00:00:00Z2021-02-15T11:34:21Zvbvs.concurrent: Fitting Methods for the Functional Linear Concurrent Modelacceptedv0.12016-11-17 19:20:35 UTC82016-12-20 00:00:00 UTC12016141JeffGoldsmithColumbia University0000-0002-6150-899710.21105/joss.00141https://doi.org/10.5281/zenodo.209506Rhttps://joss.theoj.org/papers/10.21105/joss.00141.pdfstatistical analysis