{ "_id": "6a211a35cd65a98ecbd1d13c", "Package": "mlpwr", "Title": "A Power Analysis Toolbox to Find Cost-Efficient Study Designs", "Version": "1.1.1.9000", "Authors@R": "c(\nperson(\"Felix\", \"Zimmer\", , \"felix.zimmer@mail.de\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-8127-0007\")),\nperson(\"Rudolf\", \"Debelak\", , \"rudolf.debelak@psychologie.uzh.ch\", role = c(\"aut\"),\ncomment = c(ORCID = \"0000-0001-8900-2106\")),\nperson(\"Marc\", \"Egli\", , \"eglimar@ethz.ch\", role = c(\"ctb\"))\n)", "Description": "We implement a surrogate modeling algorithm to guide\nsimulation-based sample size planning. The method is described\nin detail in our paper (Zimmer & Debelak (2023)\n). It supports multiple study design\nparameters and optimization with respect to a cost function. It\ncan find optimal designs that correspond to a desired\nstatistical power or that fulfill a cost constraint. We also\nprovide a tutorial paper (Zimmer et al. (2023)\n).", "License": "GPL (>= 3)", "LazyData": "true", "URL": "https://github.com/flxzimmer/mlpwr", "BugReports": "https://github.com/flxzimmer/mlpwr/issues", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.2", "VignetteBuilder": "knitr", "Config/pak/sysreqs": "libxml2-dev", "Repository": "https://flxzimmer.r-universe.dev", "Date/Publication": "2024-10-04 09:49:11 UTC", "RemoteUrl": "https://github.com/flxzimmer/mlpwr", "RemoteRef": "HEAD", "RemoteSha": "133bfe8a91ce71e9d9f1c2a18d258ced157f60f7", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-03 09:04:20 UTC", "User": "root" }, "Author": "Felix Zimmer [aut, cre] (ORCID:\n),\nRudolf Debelak [aut] (ORCID: ),\nMarc Egli [ctb]", "Maintainer": "Felix Zimmer ", "MD5sum": "971ce41b9656fe45fc60d206ad591a2e", "_user": "flxzimmer", "_type": "src", "_file": "mlpwr_1.1.1.9000.tar.gz", "_fileid": "38edd85b3b088cdbf3feb28b9c806a483340f072ff77e5656ae4a7d1246f707d", "_filesize": 1990085, "_sha256": 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