tag:joss.theoj.org,2005:/papers/reviewed_by/@nhejaziJournal of Open Source Software2023-02-21T22:04:59ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/39702023-02-21T22:04:59Z2023-02-22T00:00:48ZPhaseTypeR: an R package for phase-type distributions in population geneticsacceptedv1.0.42022-10-18 15:40:06 UTC822023-02-21 22:04:59 UTC820235054IkerRivas-GonzálezBioinformatics Research Centre, Aarhus University, Denmark0000-0002-0515-0628LarsNørvangAndersenDepartment of Mathematics, Aarhus University, Denmark0000-0001-6196-8427AsgerHobolthDepartment of Mathematics, Aarhus University, Denmark0000-0003-4056-128610.21105/joss.05054https://doi.org/10.5281/zenodo.7656038Rhttps://joss.theoj.org/papers/10.21105/joss.05054.pdfphase-type distributions, population genetics, ancestral process, coalescent theorytag:joss.theoj.org,2005:Paper/36342022-07-19T21:12:34Z2022-07-20T00:01:05ZMultiple Inference: A Python package for comparing multiple parametersaccepted1.0.02022-05-27 14:23:38 UTC752022-07-19 21:12:34 UTC720224492DillonBowenWharton School of Business, University of Pennsylvania0000-0002-3033-133210.21105/joss.04492https://doi.org/10.5281/zenodo.6859614Python, Jupyter Notebookhttps://joss.theoj.org/papers/10.21105/joss.04492.pdfmultiple inference, conditional inference, post-selection inferencetag:joss.theoj.org,2005:Paper/28472021-10-08T00:36:30Z2021-10-09T00:01:58ZTidyTensor: Utilities for multidimensional arrays as named hierarchical structuresacceptedv0.9.12021-07-13 23:54:42 UTC662021-10-08 00:36:30 UTC620213543ShawnT.O'NeilCenter for Health Artificial Intelligence, University of Colorado Anschutz Medical Campus0000-0001-6220-708010.21105/joss.03543https://doi.org/10.5281/zenodo.5555276R, JavaScripthttps://joss.theoj.org/papers/10.21105/joss.03543.pdfdeep learning, array, tensor, tidytag:joss.theoj.org,2005:Paper/16112020-06-22T15:17:49Z2021-02-15T11:30:47Zpolicytree: Policy learning via doubly robust empirical welfare maximization over treesacceptedv0.9.22020-05-20 15:20:10 UTC502020-06-22 15:17:49 UTC520202232ErikSverdrupStanford Graduate School of Business0000-0001-6093-1390AyushKanodiaStanford Graduate School of BusinessZhengyuanZhouNYU SternSusanAtheyStanford Graduate School of BusinessStefanWagerStanford Graduate School of Business10.21105/joss.02232https://doi.org/10.5281/zenodo.3903433R, C++https://joss.theoj.org/papers/10.21105/joss.02232.pdfcausal inference, econometricstag:joss.theoj.org,2005:Paper/11412019-12-18T14:55:35Z2021-02-15T11:31:51ZSleepPy: A python package for sleep analysis from accelerometer dataaccepted0.122019-07-31 18:29:30 UTC442019-12-18 14:55:35 UTC420191663YiorgosChristakisPfizer, Inc.0000-0003-3371-8935NikhilMahadevanPfizer, Inc.0000-0003-0257-9311ShyamalPatelPfizer, Inc.0000-0002-4369-303310.21105/joss.01663https://doi.org/10.5281/zenodo.3572581Jupyter Notebook, Pythonhttps://joss.theoj.org/papers/10.21105/joss.01663.pdfSleepPy, Accelerometer, Actigraphy, Algorithms, Wrist, GeneActiv, Digital Medicine, Wearable Sensorstag:joss.theoj.org,2005:Paper/13322019-12-11T18:12:29Z2021-02-15T11:31:22Zmlr3: A modern object-oriented machine learning framework in Racceptedv0.1.42019-11-15 12:36:52 UTC442019-12-11 18:12:29 UTC420191903MichelLangTU Dortmund University, LMU Munich0000-0001-9754-0393MartinBinderLMU MunichJakobRichterTU Dortmund University0000-0003-4481-5554PatrickSchratzLMU Munich0000-0003-0748-6624FlorianPfistererLMU Munich0000-0001-8867-762XStefanCoorsLMU Munich0000-0002-7465-2146QuayAuLMU Munich0000-0002-5252-8902GiuseppeCasalicchioLMU Munich0000-0001-5324-5966LarsKotthoffUniversity of Wyoming0000-0003-4635-6873BerndBischlLMU Munich0000-0001-6002-698010.21105/joss.01903https://doi.org/10.5281/zenodo.3569963R, Rebolhttps://joss.theoj.org/papers/10.21105/joss.01903.pdfmachine learning, classification, regressiontag:joss.theoj.org,2005:Paper/12092019-12-06T05:09:55Z2021-02-15T11:31:39ZBedtoolsr: An R package for genomic data analysis and manipulationacceptedv2.29.02019-09-10 17:41:30 UTC442019-12-06 05:09:55 UTC420191742MayuraN.PatwardhanThurston Arthritis Research Center, University of North Carolina, Chapel Hill, NC 27599, USACraigD.WengerIndependent Scholar, Long Beach Township, NJ 080080000-0002-7361-8456EricS.DavisCurriculum in Bioinformatics & Computational Biology, University of North Carolina, Chapel Hill, NC 27599, USA0000-0003-4051-3217DouglasH.PhanstielThurston Arthritis Research Center, University of North Carolina, Chapel Hill, NC 27599, USA, Curriculum in Bioinformatics & Computational Biology, University of North Carolina, Chapel Hill, NC 27599, USA, Department of Cell Biology & Physiology, University of North Carolina, Chapel Hill, NC 27599, USA, Lineberger Comprehensive Cancer Research Center, University of North Carolina, Chapel Hill, NC 27599, USA0000-0003-2123-005110.21105/joss.01742https://doi.org/10.5281/zenodo.3509513R, Pythonhttps://joss.theoj.org/papers/10.21105/joss.01742.pdfbedtools, genomics, data analysis, metaprogrammingtag:joss.theoj.org,2005:Paper/10272019-09-04T15:48:59Z2021-02-15T11:32:06ZSmartEDA: An R Package for Automated Exploratory Data Analysisacceptedv0.3.12019-06-04 10:12:20 UTC412019-09-04 15:48:59 UTC420191509SayanPutatundaVMware Software India Pvt ltd.0000-0002-6477-0376DayanandaUbrangalaVMware Software India Pvt ltd.KiranRamaVMware Software India Pvt ltd.RaviKondapalliVMware Software India Pvt ltd.10.21105/joss.01509https://doi.org/10.5281/zenodo.3383824Rhttps://joss.theoj.org/papers/10.21105/joss.01509.pdfExploratory Data Analysis, Data Miningtag:joss.theoj.org,2005:Paper/5222018-06-27T13:46:15Z2021-02-15T11:33:18Ziml: An R package for Interpretable Machine Learningacceptedv0.5.22018-06-19 11:27:45 UTC262018-06-27 13:46:15 UTC32018786ChristophMolnarDepartment of Statistics, LMU Munich0000-0003-2331-868XGiuseppeCasalicchioDepartment of Statistics, LMU Munich0000-0001-5324-5966BerndBischlDepartment of Statistics, LMU Munich0000-0001-6002-698010.21105/joss.00786https://doi.org/10.5281/zenodo.1299059R, Jupyter Notebookhttps://joss.theoj.org/papers/10.21105/joss.00786.pdfmachine learning, interpretabilitytag:joss.theoj.org,2005:Paper/4732018-06-04T13:20:54Z2021-02-15T11:33:27ZDiscrete Laplace mixture model with applications in forensic geneticsacceptedv1.72018-04-22 21:55:48 UTC262018-06-04 13:20:54 UTC32018748MikkelMeyerAndersenDepartment of Mathematical Sciences, Aalborg University, Denmark0000-0002-0234-026610.21105/joss.00748https://doi.org/10.5281/zenodo.1257887R, C++, Chttps://joss.theoj.org/papers/10.21105/joss.00748.pdfY-chromosome, forensic genetics, population genetics, weight of evidence