tag:joss.theoj.org,2005:/papers/tagged/Logistic%20RegressionJournal of Open Source Software2022-08-23T06:09:00ZJournal of Open Source Softwarehttps://joss.theoj.orgtag: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/34232022-06-02T17:30:41Z2022-06-03T00:00:40ZBetterReg: An R package for Useful Regression Statisticsacceptedv0.2.02022-03-14 19:57:01 UTC742022-06-02 17:30:41 UTC720224280ChristopherL.AbersonCal Poly Humboldt0000-0003-3481-717710.21105/joss.04280https://doi.org/10.5281/zenodo.6604040Rhttps://joss.theoj.org/papers/10.21105/joss.04280.pdfOLS Regression, Logistic Regressiontag:joss.theoj.org,2005:Paper/22372021-04-06T17:40:16Z2021-04-07T04:33:52ZNLSIG-COVID19Lab: A modern logistic-growth tool (nlogistic-sigmoid) for descriptively modelling the dynamics of the COVID-19 pandemic processacceptedv1.1.02020-12-16 06:55:27 UTC602021-04-06 17:40:16 UTC620213002OluwasegunA.SomefunFederal University of Technology Akure, Nigeria0000-0002-5171-8026KayodeF.AkingbadeFederal University of Technology Akure, NigeriaFolasadeM.DahunsiFederal University of Technology Akure, Nigeria10.21105/joss.03002https://doi.org/10.5281/zenodo.4662275Matlabhttps://joss.theoj.org/papers/10.21105/joss.03002.pdfCOVID-19, logistic function, machine learning, neural networks, optimization, regression, epidemiologytag:joss.theoj.org,2005:Paper/9222019-06-27T20:12:21Z2021-02-15T11:32:25ZVBLinLogit: Variational Bayesian linear and logistic regressionacceptedv0.22019-03-10 21:26:03 UTC382019-06-27 20:12:21 UTC420191359JanDrugowitschDepartment of Neurobiology, Harvard Medical School, Boston, MA 02115, USA0000-0002-7846-040810.21105/joss.01359https://doi.org/10.5281/zenodo.3255135Matlabhttps://joss.theoj.org/papers/10.21105/joss.01359.pdfMATLAB, Octave, linear regression, logistic regression, Variational Bayestag:joss.theoj.org,2005:Paper/8952019-03-28T13:14:39Z2021-02-15T11:32:30Zriskclustr: Functions to Study Etiologic Heterogeneityaccepted0.1.02019-02-18 22:21:54 UTC352019-03-28 13:14:39 UTC420191269EmilyC.ZaborMemorial Sloan Kettering Cancer Center0000-0002-1402-449810.21105/joss.01269https://doi.org/10.5281/zenodo.2612856Rhttps://joss.theoj.org/papers/10.21105/joss.01269.pdfbiostatistics, epidemiology, etiologic heterogeneity, clustering, disease subtypes, multinomial logistic regression, polytomous logistic regressiontag:joss.theoj.org,2005:Paper/4612019-03-19T20:30:20Z2021-02-15T11:33:28ZKLRfome - Kernel Logistic Regression on Focal Mean Embeddingsacceptedv2.1.02018-04-14 21:02:41 UTC352019-03-19 20:30:20 UTC42019722MatthewD.HarrisAECOM Technologies0000-0002-4627-769210.21105/joss.00722https://doi.org/10.5281/zenodo.2598673R, Stanhttps://joss.theoj.org/papers/10.21105/joss.00722.pdfArchaeology, Archaeological Science, Kernel Methods, Machine Learning