{ "_id": "6aaa41c9ea78b3e62eac9d29", "Package": "bets.covid19", "Title": "The BETS Model for Early Epidemic Data", "Version": "1.0.0", "Date": "2020-05-07", "Authors@R": "c(person(\"Qingyuan\", \"Zhao\", email = \"qyzhao@statslab.cam.ac.uk\", role = c(\"aut\", \"cre\")),person(\"Nianqiao\", \"Ju\", email = \"nju@g.harvard.edu\", role = \"aut\"))", "Description": "Implements likelihood inference for early epidemic\nanalysis. BETS is short for the four key epidemiological events\nbeing modeled: Begin of exposure, End of exposure, time of\nTransmission, and time of Symptom onset. The package contains a\ndataset of the trajectory of confirmed cases during the\ncoronavirus disease (COVID-19) early outbreak. More detail of\nthe statistical methods can be found in Zhao et al. (2020)\n.", "License": "CC BY 4.0", "URL": "https://github.com/qingyuanzhao/bets.covid19", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.0.2", "Repository": "https://qingyuanzhao.r-universe.dev", "Date/Publication": "2020-06-01 18:24:53 UTC", "RemoteUrl": "https://github.com/qingyuanzhao/bets.covid19", "RemoteRef": "HEAD", "RemoteSha": "b9ad1400d0b96bdd75889b97a81113a65e7cbf88", "NeedsCompilation": "no", "Packaged": { "Date": "2026-09-16 07:05:37 UTC", "User": "root" }, "Author": "Qingyuan Zhao [aut, cre],\nNianqiao Ju [aut]", "Maintainer": "Qingyuan Zhao ", "_user": "qingyuanzhao", "_type": "src", "_file": "bets.covid19_1.0.0.tar.gz", "_fileid": "https://r2.ropensci.org/61c9d10acb391289a4628c1c51ff7c3941abdb2a45797fffba52c661ef584ee3", "_filesize": 144406, "_sha256": "61c9d10acb391289a4628c1c51ff7c3941abdb2a45797fffba52c661ef584ee3", "_expires": "2026-12-25T07:14:16.000Z", "_created": "2026-09-16T07:05:37.000Z", "_published": "2026-09-16T07:14:17.771Z", "_jobs": [ { 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