tag:joss.theoj.org,2005:/papers/tagged/predictive%20modelingJournal of Open Source Software2023-04-05T09:02:25ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/43752023-04-05T09:02:25Z2023-04-06T00:03:24ZpredictNMB: An R package to estimate if or when a clinical prediction model is worthwhileacceptedv0.1.02023-03-30 22:40:26 UTC842023-04-05 09:02:25 UTC820235328RexParsonsAustralian Centre for Health Services Innovation and Centre for Healthcare Transformation, School of Public Health and Social Work, Faculty of Health, Queensland University of Technology, Kelvin Grove, Australia0000-0002-6053-8174RobinD.BlytheAustralian Centre for Health Services Innovation and Centre for Healthcare Transformation, School of Public Health and Social Work, Faculty of Health, Queensland University of Technology, Kelvin Grove, Australia0000-0002-3643-4332AdrianG.BarnettAustralian Centre for Health Services Innovation and Centre for Healthcare Transformation, School of Public Health and Social Work, Faculty of Health, Queensland University of Technology, Kelvin Grove, Australia0000-0001-6339-0374SusannaM.CrambAustralian Centre for Health Services Innovation and Centre for Healthcare Transformation, School of Public Health and Social Work, Faculty of Health, Queensland University of Technology, Kelvin Grove, Australia, Jamieson Trauma Institute, Royal Brisbane and Women’s Hospital, Metro North Health, Herston, Australia0000-0001-9041-9531StevenM.McPhailAustralian Centre for Health Services Innovation and Centre for Healthcare Transformation, School of Public Health and Social Work, Faculty of Health, Queensland University of Technology, Kelvin Grove, Australia, Clinical Informatics Directorate, Metro South Health, Woolloongabba, Australia0000-0002-1463-662X10.21105/joss.05328https://doi.org/10.5281/zenodo.7793463Rhttps://joss.theoj.org/papers/10.21105/joss.05328.pdfR package, clinical prediction model, net monetary benefit, cutpoint, clinical decision makingtag:joss.theoj.org,2005:Paper/37522022-11-25T07:39:28Z2022-11-26T00:00:44Zmetrica: an R package to evaluate prediction performance of regression and classification point-forecast modelsacceptedv2.0.12022-07-29 23:41:36 UTC792022-11-25 07:39:28 UTC720224655AdrianA.CorrendoDepartment of Agronomy, Kansas State University, Manhattan, KS, USA.0000-0002-4172-289XLuizH. MoroRossoPrivate Consultant, Brasil.0000-0002-8642-911XCarlosH.HernandezDepartment of Agronomy, Kansas State University, Manhattan, KS, USA.0000-0001-5171-2516LeonardoM.BastosDepartment of Crop and Soil Sciences, University of Georgia, Athens, GA, USA.0000-0001-8958-6527LucianaNietoDepartment of Agronomy, Kansas State University, Manhattan, KS, USA.0000-0002-7172-0799DeanHolzworthCSIRO Agriculture and Food, Australia.IgnacioA.CiampittiDepartment of Agronomy, Kansas State University, Manhattan, KS, USA.0000-0001-9619-512910.21105/joss.04655https://doi.org/10.5281/zenodo.7291776Rhttps://joss.theoj.org/papers/10.21105/joss.04655.pdfAPSIM, Machine Learning, error metrics, prediction qualitytag:joss.theoj.org,2005:Paper/12782019-11-05T18:24:44Z2021-02-15T11:31:32ZmodelStudio: Interactive Studio with Explanations for ML Predictive Modelsacceptedv0.1.82019-10-05 14:30:57 UTC432019-11-05 18:24:44 UTC420191798HubertBanieckiFaculty of Mathematics and Information Science, Warsaw University of Technology0000-0001-6661-5364PrzemyslawBiecekFaculty of Mathematics and Information Science, Warsaw University of Technology0000-0001-8423-182310.21105/joss.01798https://doi.org/10.5281/zenodo.3527770R, JavaScripthttps://joss.theoj.org/papers/10.21105/joss.01798.pdfautomated data analysis, model visualization, explainable artificial intelligence, predictive modeling, interpretable machine learningtag:joss.theoj.org,2005:Paper/9932019-06-27T06:23:27Z2021-02-15T11:32:12ZmodelDown: automated website generator with interpretable documentation for predictive machine learning modelsaccepted1.0.02019-05-08 20:51:38 UTC382019-06-27 06:23:27 UTC420191444KamilRomaszkoFaculty of Mathematics and Information Science, Warsaw University of TechnologyMagdaTatarynowiczFaculty of Mathematics and Information Science, Warsaw University of TechnologyMateuszUrbańskiFaculty of Mathematics and Information Science, Warsaw University of TechnologyPrzemysławBiecekFaculty of Mathematics and Information Science, Warsaw University of Technology0000-0001-8423-182310.21105/joss.01444https://doi.org/10.5281/zenodo.3247303Rhttps://joss.theoj.org/papers/10.21105/joss.01444.pdfexplainable artificial intelligence, interpretable machine learning, predictive models, model visualization, automated data analysistag:joss.theoj.org,2005:Paper/9672019-06-14T15:23:32Z2021-02-15T11:32:16ZSCONE: Open Source Software for Predictive Simulation of Biological Motionacceptedv1.0.02019-04-19 14:32:06 UTC382019-06-14 15:23:32 UTC420191421ThomasGeijtenbeekDelft University of Technology, Delft, The Netherlands0000-0001-8352-810710.21105/joss.01421https://doi.org/10.5281/zenodo.3245810Roffhttps://joss.theoj.org/papers/10.21105/joss.01421.pdfpredictive simulation, biomechanical modeling, neuromuscular control, optimization, data visualizationtag:joss.theoj.org,2005:Paper/8042019-02-10T11:19:07Z2021-02-15T11:32:41ZMultiblock PLS: Block dependent prediction modeling for Pythonacceptedv1.0.02019-01-06 20:42:11 UTC342019-02-10 11:19:07 UTC420191190AndreasBaumDepartment of Applied Mathematics and Computer Science, Technical University of Denmark, Richard Petersens Plads 324, DK-2800 Kgs. Lyngby, Denmark0000-0003-1552-0220LaurentVermueDepartment of Applied Mathematics and Computer Science, Technical University of Denmark, Richard Petersens Plads 324, DK-2800 Kgs. Lyngby, Denmark0000-0002-3403-762410.21105/joss.01190https://doi.org/10.5281/zenodo.2560303Pythonhttps://joss.theoj.org/papers/10.21105/joss.01190.pdfmultivariate statistics, data fusion, latent variables, exploratory analysis, data integration, MB-PLStag:joss.theoj.org,2005:Paper/6112018-11-06T07:04:38Z2021-02-15T11:33:03Zsurvxai: an R package for structure-agnostic explanations of survival modelsaccepted0.2.02018-09-05 08:21:29 UTC312018-11-06 07:04:38 UTC32018961AleksandraGrudziazFaculty of Mathematics and Information Science, Warsaw University of Technology, Faculty of Mathematics, Informatics, and Mechanics, University of Warsaw0000-0002-5963-6260AlicjaGosiewskaFaculty of Mathematics and Information Science, Warsaw University of Technology0000-0001-6563-5742PrzemyslawBiecekFaculty of Mathematics and Information Science, Warsaw University of Technology, Faculty of Mathematics, Informatics, and Mechanics, University of Warsaw0000-0001-8423-182310.21105/joss.00961https://doi.org/10.5281/zenodo.1477857Rhttps://joss.theoj.org/papers/10.21105/joss.00961.pdfsurvival analysis, explainable artificial intelligence, predictive modeling, interpretable machine learningtag:joss.theoj.org,2005:Paper/3782018-03-12T16:50:17Z2021-02-15T11:33:38ZThe vtreat R package: a statistically sound data processor for predictive modelingaccepted1.0.22018-02-09 23:19:43 UTC232018-03-12 16:50:17 UTC32018584JohnMountWin-Vector, LLC0000-0002-3696-2012NinaZumelWin-Vector, LLC0000-0001-8831-019010.21105/joss.00584https://doi.org/10.5281/zenodo.1196479Rhttps://joss.theoj.org/papers/10.21105/joss.00584.pdfdata science, predictive modeling, classification, regression, data preparation, significance, dimensionality reduction, reproducible research, cross-validation