tag:joss.theoj.org,2005:/papers/tagged/multiple%20testingJournal of Open Source Software2022-08-28T17:44:41ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/37342022-08-28T17:44:41Z2022-08-29T00:01:04ZPOSSA: Power simulation for sequential analyses and multiple hypothesesacceptedv0.5.52022-07-20 10:02:50 UTC762022-08-28 17:44:41 UTC720224643GáspárLukácsTilburg University, Department of Methodology and Statistics, The Netherlands0000-0001-9401-483010.21105/joss.04643https://doi.org/10.5281/zenodo.7027767Rhttps://joss.theoj.org/papers/10.21105/joss.04643.pdfr, statistical power, simulation, sequential design, multiple hypotheses, multiple testingtag:joss.theoj.org,2005:Paper/7452019-04-14T21:40:37Z2021-02-15T11:32:45Zscikit-posthocs: Pairwise multiple comparison tests in Pythonaccepted0.4.02018-12-06 13:49:21 UTC362019-04-14 21:40:37 UTC420191169MaksimA.TerpilowskiInstitute of Evolutionary Physiology and Biochemistry, Saint Petersburg, Russia0000-0003-2586-463310.21105/joss.01169https://doi.org/10.5281/zenodo.2639732Ruby, Python, Jupyter Notebookhttps://joss.theoj.org/papers/10.21105/joss.01169.pdfstatistics, post hoctag:joss.theoj.org,2005:Paper/1202018-10-19T00:30:17Z2021-02-15T11:34:21Zadaptest: Data-Adaptive Statistics for High-Dimensional Testing in Raccepted0.2.02016-11-22 00:17:26 UTC302018-10-19 00:30:17 UTC32018161WeixinCaiGroup in Biostatistics, University of California, Berkeley0000-0003-2680-3066AlanHubbardGroup in Biostatistics, University of California, Berkeley0000-0002-3769-0127NimaHejaziGroup in Biostatistics, University of California, Berkeley0000-0002-7127-278910.21105/joss.00161https://doi.org/10.5281/zenodo.1466019Rhttps://joss.theoj.org/papers/10.21105/joss.00161.pdfR language, data-adaptive statistics, data mining, multiple testing, computational biology, bioinformatics, targeted learning