tag:joss.theoj.org,2005:/papers/tagged/statistical%20analysisJournal of Open Source Software2023-12-11T09:13:35ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/45222023-12-11T09:13:35Z2023-12-12T10:55:56ZarcheoViz: an R package for the Visualisation, Exploration, and Web Communication of Archaeological Spatial Dataacceptedv1.1.22023-06-02 22:20:18 UTC922023-12-11 09:13:35 UTC820235811SébastienPlutniakCNRS, CITERES-LAT, Université de Tours, Tours, France0000-0002-6674-380610.21105/joss.05811https://doi.org/10.5281/zenodo.10200892Rhttps://joss.theoj.org/papers/10.21105/joss.05811.pdfarchaeology, archeology, data visualisation, data vizualisation, spatial analysis, spatial statisticstag:joss.theoj.org,2005:Paper/46782023-09-11T12:47:07Z2023-09-12T00:01:30Zeinprot: flexible, easy-to-use, reproducible workflows for statistical analysis of quantitative proteomics dataaccepted0.7.62023-08-05 20:14:11 UTC892023-09-11 12:47:07 UTC820235750CharlotteSonesonFriedrich Miescher Institute for Biomedical Research, Basel, Switzerland, SIB Swiss Institute of Bioinformatics, Basel, Switzerland0000-0003-3833-2169VytautasIesmantaviciusFriedrich Miescher Institute for Biomedical Research, Basel, Switzerland0000-0002-2512-9957DanielHessFriedrich Miescher Institute for Biomedical Research, Basel, Switzerland0000-0002-1642-5404MichaelB.StadlerFriedrich Miescher Institute for Biomedical Research, Basel, Switzerland, SIB Swiss Institute of Bioinformatics, Basel, Switzerland, University of Basel, Switzerland0000-0002-2269-4934JanSeebacherFriedrich Miescher Institute for Biomedical Research, Basel, Switzerland0000-0002-7858-272010.21105/joss.05750https://doi.org/10.5281/zenodo.8298657Rhttps://joss.theoj.org/papers/10.21105/joss.05750.pdfproteomicstag:joss.theoj.org,2005:Paper/34472023-03-23T15:47:04Z2023-03-27T10:16:56ZRESOURCECODE: A Python package for statistical analysis of sea-state hindcast dataaccepted0.5.52022-03-29 11:55:57 UTC832023-03-23 15:47:04 UTC820234366NicolasRaillardIfremer, RDT, F-29280 Plouzané, France0000-0003-3385-5104SimonChabotLogilab, Paris, FranceChristopheMaisondieuIfremer, RDT, F-29280 Plouzané, France0000-0001-9883-5257DavidDarbynianEMEC, Orkney, UKGregoryPayneLHEEA, Ecole Centrale de Nantes and CNRS (UMR6598), 1 rue de la Noë, 44300 Nantes, France0000-0002-8527-8815LouisPapillonInnosea, Nantes, France10.21105/joss.04366https://doi.org/10.5281/zenodo.7681494Pythonhttps://joss.theoj.org/papers/10.21105/joss.04366.pdfOceanography, Statistics, Hindcast, Sea-statetag:joss.theoj.org,2005:Paper/30732022-11-11T11:25:25Z2022-11-14T13:35:42ZFrites: A Python package for functional connectivity analysis and group-level statistics of neurophysiological dataacceptedv0.4.02021-09-21 12:11:23 UTC792022-11-11 11:25:25 UTC720223842EtienneCombrissonInstitut de Neurosciences de la Timone, Aix Marseille Université, UMR 7289 CNRS, 13005, Marseille, France0000-0002-7362-3247RuggeroBasanisiInstitut de Neurosciences de la Timone, Aix Marseille Université, UMR 7289 CNRS, 13005, Marseille, France0000-0003-4776-596XViniciusLimaCordeiroInstitut de Neurosciences de la Timone, Aix Marseille Université, UMR 7289 CNRS, 13005, Marseille, France, Institut de Neurosciences des Systèmes, Aix-Marseille Université, UMR 1106 Inserm, 13005, Marseille, France0000-0001-7115-9041RobinA.aInceInstitute of Neuroscience and Psychology, University of Glasgow, Glasgow, UK0000-0001-8427-0507AndreaBrovelliInstitut de Neurosciences de la Timone, Aix Marseille Université, UMR 7289 CNRS, 13005, Marseille, France0000-0002-5342-133010.21105/joss.03842https://doi.org/10.5281/zenodo.7278278Pythonhttps://joss.theoj.org/papers/10.21105/joss.03842.pdfpython, cognitive neuroscience, computational neuroscience, neuroinformatics, neurophysiology, information theory, information-based measures, statistics, functional connectivity, fixed-effect ffx, random-effect rfx, cluster-based statistics, MEG EEG sEEG LFPs, Granger causalitytag:joss.theoj.org,2005:Paper/35922022-09-05T11:14:39Z2023-10-08T07:24:41Ztipr: An R package for sensitivity analyses for unmeasured confoundersacceptedv0.4.12022-05-06 16:58:03 UTC772022-09-05 11:14:39 UTC720224495LucyD\'AgostinoMcGowanWake Forest University, USA0000-0001-7297-935910.21105/joss.04495https://doi.org/10.5281/zenodo.6958926Rhttps://joss.theoj.org/papers/10.21105/joss.04495.pdfstatistics, epidemiology, sensitivity analyses, causal inference, confoundingtag:joss.theoj.org,2005:Paper/33852022-06-01T13:40:28Z2022-06-02T00:01:05ZMitoHEAR: an R package for the estimation and downstream statistical analysis of the mitochondrial DNA heteroplasmy calculated from single-cell datasetsacceptedv1.0.02022-02-21 11:28:37 UTC742022-06-01 13:40:28 UTC720224265GabrieleLubattiInstitute of Epigenetics and Stem Cells, Helmholtz Zentrum München, Munich, Germany, Institute of Functional Epigenetics, Helmholtz Zentrum München, Neuherberg, Germany, Institute of Computational Biology, Helmholtz Zentrum München, Neuherberg, GermanyElmirMahammadovInstitute of Epigenetics and Stem Cells, Helmholtz Zentrum München, Munich, Germany, Institute of Functional Epigenetics, Helmholtz Zentrum München, Neuherberg, Germany, Institute of Computational Biology, Helmholtz Zentrum München, Neuherberg, GermanyAntonioScialdoneInstitute of Epigenetics and Stem Cells, Helmholtz Zentrum München, Munich, Germany, Institute of Functional Epigenetics, Helmholtz Zentrum München, Neuherberg, Germany, Institute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany10.21105/joss.04265https://doi.org/10.5281/zenodo.6598821Rhttps://joss.theoj.org/papers/10.21105/joss.04265.pdfbioinformatics, single cell RNA seq, heteroplasmytag:joss.theoj.org,2005:Paper/32682022-05-04T14:47:52Z2022-05-05T00:00:51ZAPCtools: Descriptive and Model-based Age-Period-Cohort Analysisaccepted1.0.02022-01-02 13:58:16 UTC732022-05-04 14:47:52 UTC720224056AlexanderBauerStatistical Consulting Unit StaBLab, Department of Statistics, LMU Munich, Germany0000-0003-3495-5131MaximilianWeigertStatistical Consulting Unit StaBLab, Department of Statistics, LMU Munich, Germany0000-0003-4400-134XHawreJalalDepartment of Health Policy and Management, Graduate School of Public Health, University of Pittsburgh.0000-0002-8224-683410.21105/joss.04056https://doi.org/10.5281/zenodo.6514036Rhttps://joss.theoj.org/papers/10.21105/joss.04056.pdfStatistical analysis, APC analysis, Age period cohort analysis, Hexamapstag:joss.theoj.org,2005:Paper/30982021-12-02T15:30:48Z2021-12-03T00:01:32Zpiecewise-regression (aka segmented regression) in Pythonaccepted1.0.42021-10-04 12:38:34 UTC682021-12-02 15:30:48 UTC620213859CharliePilgrimCentre for Doctoral Training in Mathematics for Real-World Systems, University of Warwick, Coventry, UK, The Alan Turing Institute, London, UK0000-0002-3800-677X10.21105/joss.03859https://doi.org/10.5281/zenodo.5742317Pythonhttps://joss.theoj.org/papers/10.21105/joss.03859.pdfregression, statistics, segmented regression, breakpoint analysistag:joss.theoj.org,2005:Paper/26072021-07-26T17:03:18Z2023-10-09T15:38:04ZcvCovEst: Cross-validated covariance matrix estimator selection and evaluation in Raccepted3.5.02021-04-29 23:42:09 UTC632021-07-26 17:03:18 UTC620213273PhilippeBoileauGraduate Group in Biostatistics, University of California, Berkeley, Center for Computational Biology, University of California, Berkeley0000-0002-4850-2507NimaS.HejaziGraduate Group in Biostatistics, University of California, Berkeley, Center for Computational Biology, University of California, Berkeley0000-0002-7127-2789BrianCollicaDepartment of Statistics, University of California, Berkeley0000-0003-1127-2557MarkJ.van der LaanCenter for Computational Biology, University of California, Berkeley, Department of Statistics, University of California, Berkeley, Division of Biostatistics, School of Public Health, University of California, Berkeley0000-0003-1432-5511SandrineDudoitCenter for Computational Biology, University of California, Berkeley, Department of Statistics, University of California, Berkeley, Division of Biostatistics, School of Public Health, University of California, Berkeley0000-0002-6069-862910.21105/joss.03273https://doi.org/10.5281/zenodo.5132903Rhttps://joss.theoj.org/papers/10.21105/joss.03273.pdfcovariance matrix, cross-validation, high-dimensional statistics, loss-based estimation, multivariate analysistag:joss.theoj.org,2005:Paper/27512021-07-18T07:53:56Z2021-07-19T00:00:12ZgrapesAgri1: Collection of Shiny Apps for Data Analysis in Agricultureacceptedv1.0.02021-06-10 20:44:34 UTC632021-07-18 07:53:56 UTC620213437PratheeshP.GopinathDepartment of Agricultural Statistics, College of Agriculture, Vellayani, Kerala Agricultural University, Kerala, India.0000-0003-3290-0436RajenderParsadICAR-Indian Agricultural Statistics Research Institute, New Delhi, India.BrigitJosephDepartment of Agricultural Statistics, College of Agriculture, Vellayani, Kerala Agricultural University, Kerala, India.AdarshV.S.Department of Agricultural Statistics, BCKV, West Bengal, India10.21105/joss.03437https://doi.org/10.5281/zenodo.5106216Rhttps://joss.theoj.org/papers/10.21105/joss.03437.pdfData analysis in Agriculture, shiny app, Design of experiments, Compare means, Field Layout, Correlation Analysis, Descriptive Statistics