{ "_id": "6acdf594a14063b82c3ad8b2", "Package": "curtailment", "Title": "Finds Binary Outcome Designs Using Stochastic Curtailment", "Version": "1.0.0", "Authors@R": "person(given = \"Martin\",\nfamily = \"Law\",\nrole = c(\"aut\", \"cre\"),\nemail = \"martin.law@mrc-bsu.cam.ac.uk\",\ncomment = c(ORCID = \"0000-0001-9594-348X\"))", "Maintainer": "Martin Law ", "Description": "Finds single- and two-arm designs using stochastic\ncurtailment, as described by Law et al. (2022)\n and Law et al. (2021)\n respectively. Designs can be\nsingle-stage or multi-stage. Non-stochastic curtailment is\npossible as a special case. Desired error-rates, maximum sample\nsize and lower and upper anticipated response rates are\ninputted and suitable designs are returned with operating\ncharacteristics. Stopping boundaries and visualisations are\nalso available. The package can find designs using other\napproaches, for example designs by Simon (1989)\n and Mander and Thompson\n(2010) . Other features: compare\nand visualise designs using a weighted sum of expected sample\nsizes under the null and alternative hypotheses and maximum\nsample size; visualise any binary outcome design.", "License": "GPL (>= 3)", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.2", "URL": "https://github.com/martinlaw/curtailment", "BugReports": "https://github.com/martinlaw/curtailment/issues", "Config/testthat/edition": "3", "Repository": "https://martinlaw.r-universe.dev", "Date/Publication": "2025-11-14 18:30:40 UTC", "RemoteUrl": "https://github.com/martinlaw/curtailment", "RemoteRef": "HEAD", "RemoteSha": "5a3f3ce41215a1de85d8d25364b57dd2cab1e2c6", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-13 08:52:11 UTC", "User": "root" }, "Author": "Martin Law [aut, cre] (ORCID: )", "_user": "martinlaw", "_type": "src", "_file": "curtailment_1.0.0.tar.gz", "_fileid": 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