{ "_id": "6a534c5c9b92047c28d57bbd", "Package": "tseLCA", "Type": "Package", "Title": "Three-Step Estimation for Latent Class Analysis", "Version": "1.0.0", "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, 2004)\n and 'ML' (Vermunt, 2010)\n three-step estimators for latent class\nanalysis ('LCA') with covariates and distal outcomes, following\nBakk, Tekle & Vermunt (2013) ,\nBakk, 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 'LCA' through\nclassification-error correction in the final step (Bakk,\nOberski & Vermunt, 2014). Supports polytomous items and missing\ndata in the measurement model with 'FIML'. A data-generating\nprocess replicating the Bakk & Kuha (2018) simulation study is\nincluded.", "License": "GPL (>= 3)", "Encoding": "UTF-8", "Language": "en-US", "Roxygen": "list(markdown = TRUE)", "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", "Config/pak/sysreqs": "cmake make libicu-dev libuv1-dev libx11-dev\nzlib1g-dev", "Repository": "https://samleebyu.r-universe.dev", "Date/Publication": "2026-06-30 03:42:55 UTC", "RemoteUrl": "https://github.com/samleebyu/tselca", "RemoteRef": "HEAD", "RemoteSha": "f73e13200269f523f7096b90d9fd4ee7261bdd78", "NeedsCompilation": "no", "Packaged": { "Date": "2026-07-12 08:07:34 UTC", "User": "root" }, "Author": "Sam Lee [aut, cre, cph] (ORCID:\n),\nJay Goodliffe [ctb]", "Maintainer": "Sam Lee ", "_user": "samleebyu", "_type": "src", "_file": "tseLCA_1.0.0.tar.gz", "_fileid": "https://r2.ropensci.org/5115275309c91a4453e4f78819322c8a67859a98efc6e346e3c5d88eec446a8a", "_filesize": 478243, "_sha256": "5115275309c91a4453e4f78819322c8a67859a98efc6e346e3c5d88eec446a8a", "_expires": "2026-10-20T08:12:10.000Z", "_created": "2026-07-12T08:07:34.000Z", "_published": "2026-07-12T08:12:12.409Z", "_jobs": [ { "job": 86630324075, "time": 233, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "8257842027" }, { "job": 86630324098, "time": 163, "config": "linux-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "8257831860" }, { "job": 86630324055, "time": 140, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "8257824592" }, { "job": 86630324053, "time": 171, "config": "macos-release-arm64", "r": "4.6.1", "check": "OK", "artifact": "8257827891" }, { "job": 86630022362, "time": 243, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "8257808049" }, { "job": 86630324051, "time": 138, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "8257828147" }, { "job": 86630324087, "time": 88, "config": "windows-devel", "r": "4.7.0", "check": "OK", "artifact": "8257821471" }, { "job": 86630324092, "time": 121, "config": "windows-oldrel", "r": "4.5.3", "check": "OK", "artifact": "8257825725" }, { "job": 86630324078, "time": 87, "config": "windows-release", "r": "4.6.1", "check": "OK", "artifact": "8257821249" } ], "_host": "GitHub-Actions", "_buildurl": "https://github.com/r-universe/samleebyu/actions/runs/29185227486", "_status": "success", "_upstream": "https://github.com/samleebyu/tselca", "_commit": { "id": "f73e13200269f523f7096b90d9fd4ee7261bdd78", "author": "Sam Lee ", "committer": "Sam Lee ", "message": "Final update\n", "time": 1782790975 }, "_maintainer": { "name": "Sam Lee", "email": "samlee@arizona.edu", "orcid": "0009-0007-2977-6661" }, "_distro": "resolute", "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 4.1.0", "role": "Depends" }, { "package": "multilevLCA", "role": "Imports" }, { "package": "cli", "role": "Imports" }, { "package": "poLCA", "role": "Suggests" }, { "package": "testthat", "version": ">= 3.0.0", "role": "Suggests" }, { "package": "parallel", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "spelling", "role": "Suggests" } ], "_owner": "samleebyu", "_selfowned": true, "_usedby": 0, "_updates": [ { "week": "2026-26", "n": 40 }, { "week": "2026-27", "n": 22 } ], "_tags": [], "_stars": 0, "_contributors": [ { "user": "samleebyu", "count": 62, "uuid": 120203373 } ], "_userbio": { "uuid": 120203373, "type": "user", "name": "Sam Lee", "followers": 2, "description": "Statistics and Economic Graduate Researcher at BYU. Interests focused on Bayesian modeling, econometrics, and analyses in education policy." }, "_downloads": { "count": 0, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/tseLCA" }, "_devurl": "https://github.com/samleebyu/tselca", "_pkgdown": "https://samleebyu.github.io/tseLCA/", "_searchresults": 0, "_rbuild": "4.6.1", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/NEWS.html", "extra/NEWS.txt", "extra/readme.html", "extra/readme.md", "extra/tseLCA.html", "manual.pdf" ], "_homeurl": "https://github.com/samleebyu/tselca", "_realowner": "samleebyu", "_cranurl": true, "_releases": [ { "version": "1.0.2", "date": "2026-07-11" } ], "_exports": [ "bk2018_params", "draw_classes", "draw_classes_given_Zp", "draw_indicators", "draw_Zo", "draw_Zp", "fitZ_from_fit0", "fitZ_from_multiLCA", "generate_all_conditions", "generate_data", "lca_step1", "make_rho", "mnl_probs", "three_step" ], "_help": [ { "page": "bk2018_params", "title": "Default population parameters for the Bakk & Kuha (2018) simulation", "topics": [ "bk2018_params" ] }, { "page": "coef.tseLCA_measurement", "title": "Extract coefficients from a tseLCA model object", "topics": [ "coef.tseLCA_both", "coef.tseLCA_covariate", "coef.tseLCA_distal", "coef.tseLCA_measurement" ] }, { "page": "draw_classes", "title": "Draw latent class memberships from their marginal distribution", "topics": [ "draw_classes" ] }, { "page": "draw_classes_given_Zp", "title": "Draw latent classes conditional on the covariate (scenario \"covariate\")", "topics": [ "draw_classes_given_Zp" ] }, { "page": "draw_indicators", "title": "Draw binary indicators given true class memberships", "topics": [ "draw_indicators" ] }, { "page": "draw_Zo", "title": "Draw a continuous distal outcome given true class memberships (scenario \"distal\")", "topics": [ "draw_Zo" ] }, { "page": "draw_Zp", "title": "Draw the covariate Zp ~ Uniform{1, 2, 3, 4, 5}", "topics": [ "draw_Zp" ] }, { "page": "fitZ_from_fit0", "title": "Estimate covariate effects with measurement parameters fixed (two-step EM)", "topics": [ "fitZ_from_fit0" ] }, { "page": "fitZ_from_multiLCA", "title": "Estimate two-step covariate model via multilevLCA (optional reference path)", "topics": [ "fitZ_from_multiLCA" ] }, { "page": "generate_all_conditions", "title": "Generate datasets for all 18 conditions in the simulation design", "topics": [ "generate_all_conditions" ] }, { "page": "generate_data", "title": "Generate one dataset following the Bakk & Kuha (2018) simulation design", "topics": [ "generate_data" ] }, { "page": "lca_step1", "title": "Fit the LCA measurement model (Step 1)", "topics": [ "lca_step1" ] }, { "page": "make_rho", "title": "Build the item-response probability matrix for the simulation", "topics": [ "make_rho" ] }, { "page": "mnl_probs", "title": "Compute multinomial logistic class probabilities given covariates", "topics": [ "mnl_probs" ] }, { "page": "plot.tseLCA_measurement", "title": "Plot item-response probability profiles for a tseLCA model", "topics": [ "plot.tseLCA_both", "plot.tseLCA_covariate", "plot.tseLCA_distal", "plot.tseLCA_measurement" ] }, { "page": "print.tseLCA_measurement", "title": "Print a tseLCA model object", "topics": [ "print.tseLCA_both", "print.tseLCA_covariate", "print.tseLCA_distal", "print.tseLCA_measurement" ] }, { "page": "summary.tseLCA_measurement", "title": "Summarize a tseLCA model object", "topics": [ "summary.tseLCA_both", "summary.tseLCA_covariate", "summary.tseLCA_distal", "summary.tseLCA_measurement" ] }, { "page": "three_step", "title": "Three-step LCA estimation with covariates and/or distal outcomes", "topics": [ "three_step" ] }, { "page": "vcov.tseLCA_measurement", "title": "Extract the variance-covariance matrix from a tseLCA model object", "topics": [ "vcov.tseLCA_both", "vcov.tseLCA_covariate", "vcov.tseLCA_distal", "vcov.tseLCA_measurement" ] } ], "_readme": 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