tag:joss.theoj.org,2005:/papers/edited_by/@leeper?page=2Journal of Open Source Software2018-06-27T13:46:15ZJournal of Open Source Softwarehttps://joss.theoj.orgtag: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/4932018-06-20T11:12:59Z2021-02-15T11:33:23Zrsimsum: Summarise results from Monte Carlo simulation studiesaccepted0.3.12018-05-11 08:08:08 UTC262018-06-20 11:12:59 UTC32018739AlessandroGaspariniBiostatistics Research Group, Department of Health Sciences, University of Leicester0000-0002-8319-762410.21105/joss.00739https://doi.org/10.5281/zenodo.1293527Rhttps://joss.theoj.org/papers/10.21105/joss.00739.pdfMonte Carlo simulation study, simulation, biostatisticstag:joss.theoj.org,2005:Paper/4992018-06-20T10:57:23Z2021-02-15T11:33:22Zsjmisc: Data and Variable Transformation Functionsaccepted2.7.22018-05-18 08:58:51 UTC262018-06-20 10:57:23 UTC32018754DanielLüdeckeUniversity Clinical Center Hamburg-Eppendorf0000-0002-8895-320610.21105/joss.00754https://doi.org/10.5281/zenodo.1293370Rhttps://joss.theoj.org/papers/10.21105/joss.00754.pdfdata transformation, data wrangling, variable recodingtag:joss.theoj.org,2005:Paper/5032018-06-11T10:33:54Z2021-02-15T11:33:21ZPhilentropy: Information Theory and Distance Quantification with Racceptedv0.2.02018-05-23 13:46:00 UTC262018-06-11 10:33:54 UTC32018765Hajk-GeorgDrostThe Sainsbury Laboratory, University of Cambridge, Bateman Street, Cambridge CB2 1LR, UK0000-0002-1567-306X10.21105/joss.00765https://doi.org/10.5281/zenodo.1286221R, C, C++https://joss.theoj.org/papers/10.21105/joss.00765.pdfinformation theory, distance metrics, probability functions, divergence quantification, jensen-shannon divergencetag:joss.theoj.org,2005:Paper/4812018-05-19T15:01:43Z2021-02-15T11:33:25Zqqman: an R package for visualizing GWAS results using Q-Q and manhattan plotsacceptedv0.1.62018-04-25 16:54:55 UTC252018-05-19 15:01:43 UTC32018731StephenD.TurnerDepartment of Public Health Sciences, University of Virginia School of Medicine, Charlottesville Virginia 22908, Bioinformatics Core, University of Virginia School of Medicine, Charlottesville Virginia 229080000-0001-9140-902810.21105/joss.00731https://doi.org/10.5281/zenodo.591547Rhttps://joss.theoj.org/papers/10.21105/joss.00731.pdfgenetic epidemiology, gwas, manhattan plottag:joss.theoj.org,2005:Paper/4682018-05-17T10:17:56Z2021-02-15T11:33:27Zqicharts2: Quality Improvement Charts for Raccepted0.4.0.90002018-04-19 10:29:59 UTC252018-05-17 10:17:56 UTC32018699JacobAnhøjRigshospitalet, University of Copenhagen, Denmark0000-0002-7701-177410.21105/joss.00699https://doi.org/10.5281/zenodo.1244604Rhttps://joss.theoj.org/papers/10.21105/joss.00699.pdfStatistical process control, Continuous quality improvementtag:joss.theoj.org,2005:Paper/2862018-05-09T14:48:33Z2021-02-15T11:33:53Zscanstatistics: space-time anomaly detection using scan statisticsacceptedv1.0.02017-09-22 14:43:47 UTC252018-05-09 14:48:33 UTC32018515BenjaminAlléviusDepartment of Mathematics, Stockholm University0000-0002-0927-718310.21105/joss.00515https://doi.org/10.5281/zenodo.1242982R, C++, Chttps://joss.theoj.org/papers/10.21105/joss.00515.pdfscan statistic, cluster detection, anomaly detection, spatiotemporaltag:joss.theoj.org,2005:Paper/3382018-05-03T14:13:51Z2021-02-15T11:33:45Zhumanleague: a C++ microsynthesis package with R and python interfacesaccepted2.0.22017-12-13 10:37:04 UTC252018-05-03 14:13:51 UTC32018629AndrewP.SmithSchool of Geography and Leeds Institute for Data Analytics, University of Leeds0000-0002-9951-664210.21105/joss.00629https://doi.org/10.5281/zenodo.1238461R, C++, Pythonhttps://joss.theoj.org/papers/10.21105/joss.00629.pdfc++, r, python, microsynthesis, samplingtag:joss.theoj.org,2005:Paper/4242018-04-25T13:04:33Z2021-02-15T11:33:35Zeixport: An R package to export emissions to atmospheric modelsacceptedv0.3.02018-02-28 20:05:58 UTC242018-04-25 13:04:33 UTC32018607SergioIbarra-EspinosaDepartamento de Ciências Atmosféricas, Universidade de São Paulo, Brasil0000-0002-3162-1905DanielSchuchDepartamento de Ciências Atmosféricas, Universidade de São Paulo, Brasil0000-0001-5977-4519EdmilsonDiasde FreitasDepartamento de Ciências Atmosféricas, Universidade de São Paulo, Brasil0000-0001-8783-274710.21105/joss.00607https://doi.org/10.5281/zenodo.1228955Rhttps://joss.theoj.org/papers/10.21105/joss.00607.pdfeixport, emissions, air quality modeltag:joss.theoj.org,2005:Paper/4352018-03-30T00:41:21Z2021-02-15T11:33:33Zcomorbidity: An R package for computing comorbidity scoresaccepted0.1.02018-03-12 16:17:28 UTC232018-03-30 00:41:21 UTC32018648AlessandroGaspariniBiostatistics Research Group, Department of Health Sciences, University of Leicester0000-0002-8319-762410.21105/joss.00648https://doi.org/10.5281/zenodo.1209837Rhttps://joss.theoj.org/papers/10.21105/joss.00648.pdfcomorbidity scores, administrative data, epidemiology, biostatistics, ICD