tag:joss.theoj.org,2005:/papers/reviewed_by/@daviddewhurstJournal of Open Source Software2020-09-26T07:36:15ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/17942020-09-26T07:36:15Z2021-02-15T11:30:26Zhal9001: Scalable highly adaptive lasso regression in Racceptedv0.2.62020-06-24 02:07:17 UTC532020-09-26 07:36:15 UTC520202526NimaS.HejaziGraduate Group in Biostatistics, University of California, Berkeley, Division of Biostatistics, School of Public Health, University of California, Berkeley, Center for Computational Biology, University of California, Berkeley0000-0002-7127-2789JeremyR.CoyleDivision of Biostatistics, School of Public Health, University of California, Berkeley0000-0002-9874-6649MarkJ.van der LaanDivision of Biostatistics, School of Public Health, University of California, Berkeley, Department of Statistics, University of California, Berkeley, Center for Computational Biology, University of California, Berkeley0000-0003-1432-551110.21105/joss.02526https://doi.org/10.5281/zenodo.4050561R, C++https://joss.theoj.org/papers/10.21105/joss.02526.pdfmachine learning, targeted learning, causal inference