{ "_id": "6a2bb5e257839859431987fa", "Package": "semmcci", "Title": "Monte Carlo Confidence Intervals in Structural Equation Modeling", "Version": "1.1.6", "Authors@R": "c(\nperson(given = \"Ivan Jacob Agaloos\",\nfamily = \"Pesigan\",\nrole = c(\"aut\", \"cre\", \"cph\"),\nemail = \"r.jeksterslab@gmail.com\",\ncomment = c(ORCID = \"0000-0003-4818-8420\")),\nperson(given = \"Shu Fai\",\nfamily = \"Cheung\",\nrole = \"ctb\",\nemail = \"shufai.cheung@gmail.com\",\ncomment = c(ORCID = \"0000-0002-9871-9448\"))\n)", "Description": "Monte Carlo confidence intervals for free and defined\nparameters in models fitted in the structural equation modeling\npackage 'lavaan' can be generated using the 'semmcci' package.\n'semmcci' has three main functions, namely, MC(), MCMI(), and\nMCStd(). The output of 'lavaan' is passed as the first argument\nto the MC() function or the MCMI() function to generate Monte\nCarlo confidence intervals. Monte Carlo confidence intervals\nfor the standardized estimates can also be generated by passing\nthe output of the MC() function or the MCMI() function to the\nMCStd() function. A description of the package and code\nexamples are presented in Pesigan and Cheung (2024)\n.", "URL": "https://github.com/jeksterslab/semmcci,\nhttps://jeksterslab.github.io/semmcci/", "BugReports": "https://github.com/jeksterslab/semmcci/issues", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "Config/roxygen2/version": "8.0.0.9000", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-12 07:28:51 UTC", "User": "root" }, "Author": "Ivan Jacob Agaloos Pesigan [aut, cre, cph] (ORCID:\n), Shu Fai Cheung [ctb]\n(ORCID: )", "Maintainer": "Ivan Jacob Agaloos Pesigan ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2026-06-12 05:10:21 UTC", "RemoteUrl": "https://github.com/cran/semmcci", "RemoteRef": "HEAD", "RemoteSha": "a00e6357b116e32b1968c9d8e1141ae863d1ca3c", "MD5sum": "9fe3ce9fe31a7604cb5d18bb2d8371dd", "_user": "cran", "_type": "src", "_file": "semmcci_1.1.6.tar.gz", "_fileid": "a26ca25bda298f9b12d14c2389eec1c32218ca80b456e24220fadff7ee10708b", 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