{ "_id": "6a1032a1acfb0bcc41c97aa7", "Package": "odr", "Type": "Package", "Title": "Optimal Design and Statistical Power for Experimental Studies\nInvestigating Main, Mediation, and Moderation Effects", "Version": "1.8.3", "Date": "2026-2-11", "Authors@R": "c(person(given = \"Zuchao\", \nfamily = \"Shen\",\nemail = \"zuchao.shen@gmail.com\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0003-3483-0451\")),\nperson(given = \"Benjamin\",\nfamily = \"Kelcey\",\nrole = \"aut\"))", "Description": "Calculate the optimal sample size allocation that uses the\nminimum resources to achieve targeted statistical power in\nexperiments. Perform power analyses with and without\naccommodating costs and budget. The designs cover single-level\nand multilevel experiments detecting main, mediation, and\nmoderation effects (and some combinations). The references for\nthe proposed methods include: (1) Shen, Z., & Kelcey, B.\n(2020). Optimal sample allocation under unequal costs in\ncluster-randomized trials. Journal of Educational and\nBehavioral Statistics, 45(4): 446-474.\n. (2) Shen, Z., & Kelcey, B.\n(2022b). Optimal sample allocation for three-level multisite\ncluster-randomized trials. Journal of Research on Educational\nEffectiveness, 15 (1), 130-150.\n. (3) Shen, Z., & Kelcey, B.\n(2022a). Optimal sample allocation in multisite randomized\ntrials. The Journal of Experimental Education, 90(3), 693-711.\n. (4) Shen, Z., Leite, W.,\nZhang, H., Quan, J., & Kuang, H. (2025). Using ant colony\noptimization to identify optimal sample allocations in\ncluster-randomized trials. The Journal of Experimental\nEducation, 93(1), 167-185. .\n(5) Shen, Z., Li, W., & Leite, W. (in press). Statistical power\nand optimal design for randomized controlled trials\ninvestigating mediation effects. Psychological Methods.\n. (6) Champely, S. (2020). pwr: Basic\nfunctions for power analysis (Version 1.3-0) [Software].\nAvailable from .", "Language": "en-US", "License": "GPL-3", "Encoding": "UTF-8", "RoxygenNote": "7.3.3", "VignetteBuilder": "rmarkdown, knitr, markdown", "Repository": "https://zuchaoshen.r-universe.dev", "Date/Publication": "2026-02-11 15:54:25 UTC", "RemoteUrl": "https://github.com/zuchaoshen/odr", "RemoteRef": "HEAD", "RemoteSha": "199820882cfef85e879f0a6e3df1e198d4f71b81", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-12 08:36:17 UTC", "User": "root" }, "Author": "Zuchao Shen [aut, cre] (ORCID: ),\nBenjamin Kelcey [aut]", "Maintainer": "Zuchao Shen ", "MD5sum": "4e942cae8b66acab0f8b4114951b44f3", "_user": "zuchaoshen", "_type": "src", "_file": "odr_1.8.3.tar.gz", "_fileid": "691b9c9604396b7ed4b4c640c596a1cde02f7183f552488d7a34025736bba26d", "_filesize": 744731, "_sha256": "691b9c9604396b7ed4b4c640c596a1cde02f7183f552488d7a34025736bba26d", "_created": "2026-05-12T08:36:17.000Z", "_published": "2026-05-22T10:40:33.865Z", "_distro": "noble", "_jobs": [ { "job": 77363531534, "time": 136, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "6939463337" }, { "job": 77363531614, "time": 178, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "6939477530" }, { "job": 77363531772, "time": 105, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "6939452912" }, { "job": 77363531692, "time": 126, "config": "macos-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "6939459983" }, { "job": 77363531313, "time": 167, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "6939418088" }, { "job": 77363531154, "time": 88, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7158557112" }, { "job": 77363531767, "time": 148, "config": "windows-devel", "r": "4.7.0", "check": "OK", "artifact": "6939467259" }, { "job": 77363531920, "time": 131, "config": "windows-oldrel", "r": "4.5.3", "check": "OK", 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Optimal Design Parameters", "2. Designs Detecting Main Effects", "Designs and Functions", "Rules for Function Names", "Functions", "od function", "power function", "re function", "plot.power function", "3. Designs Detecting Mediation Effects", "4. Designs Detecting Moderation (and Main) Effects", "5. Examples for Main Effects", "Function od", "Function plot.power", "Function power", "Examples of power analyses accommodating cost structures (cost.model = TRUE)", "Required budget for desired power", "Statistical power under a fixed budget", "Minimum detectable effect size under a fixed budget", "Examples of conventional power analyses (cost.model = FALSE)", "Examples of conventional power curves", "Examples for other types of trials", "Function re", "6. Examples for Mediation Effects", "7. 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