{ "_id": "6a5222e39b92047c28d54803", "Package": "tseLCA", "Type": "Package", "Title": "Three-Step Estimation for Latent Class Analysis", "Version": "1.0.2", "Authors@R": "c(\nperson(\"Sam\", \"Lee\", email = \"samlee@arizona.edu\", role = c(\"aut\", \"cre\", \"cph\"),\ncomment = c(ORCID = \"0009-0007-2977-6661\")),\nperson(\"Jay\", \"Goodliffe\", email = \"goodliffe@byu.edu\", role = \"ctb\")\n)", "Description": "Implements BCH (Bolck-Croon-Hagenaars)\n and ML (Vermunt's maximum likelihood)\n approaches for three-step estimation\nof latent class models with covariates and distal outcomes,\nfollowing Bakk, Tekle & Vermunt (2013)\n, Bakk, Oberski & Vermunt (2014)\n, and Bakk & Kuha (2018)\n. Built on 'multilevLCA'\n(Lyrvall et al., 2025) for\nStep-1 measurement model estimation, this package extends it\nwith support for Gaussian, Poisson, and binomial distal outcome\nfamilies. Unlike 'poLCA', which relies on one-step estimation\nand cannot accommodate a measurement model from a different\nsample, this package uses a stepwise approach to prevent the\nstructural model from influencing latent class formation.\nImplements correct sandwich variance estimation that propagates\nmeasurement uncertainty from the first-step through\nclassification-error correction in the final step (Bakk,\nOberski & Vermunt, 2014). Supports polytomous items and missing\ndata in the measurement model with full information maximum\nlikelihood. A data-generating process replicating the Bakk &\nKuha (2018) simulation study is included.", "License": "GPL (>= 3)", "Encoding": "UTF-8", "Language": "en-US", "Config/testthat/edition": "3", "Config/roxygen2/version": "8.0.0", "URL": "https://samleebyu.github.io/tseLCA/,\nhttps://github.com/SamLeeBYU/tseLCA", "BugReports": "https://github.com/SamLeeBYU/tseLCA/issues", "VignetteBuilder": "knitr, rmarkdown", "NeedsCompilation": "no", "Packaged": { "Date": "2026-07-11 10:58:30 UTC", "User": "root" }, "Author": "Sam Lee [aut, cre, cph] (ORCID:\n), Jay Goodliffe [ctb]", "Maintainer": "Sam Lee ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2026-07-11 08:40:02 UTC", "RemoteUrl": "https://github.com/cran/tseLCA", "RemoteRef": "HEAD", "RemoteSha": "df20b56326120c7d1664fcbee96a52cc3034e313", "_user": "cran", "_type": "src", "_file": "tseLCA_1.0.2.tar.gz", "_fileid": "https://r2.ropensci.org/c961632f09031fc4bead074f369d6f57cc1984827ef62160aed2bb5da74668eb", "_filesize": 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