{
  "_id": "6ac63bc9f511ae58c09a8574",
  "Package": "LCPA",
  "Type": "Package",
  "Title": "A General Framework for Latent Class and Profile Analysis",
  "Version": "1.0.4",
  "Date": "2026-09-2",
  "Author": "Haijiang Qin [aut, cre, cph] (ORCID:\n<https://orcid.org/0009-0000-6721-5653>), Lei Guo [aut, cph]\n(ORCID: <https://orcid.org/0000-0002-8273-3587>)",
  "Authors@R": "c(person(given = \"Haijiang\", \nfamily = \"Qin\",\nrole = c(\"aut\", \"cre\", \"cph\"),\nemail = \"haijiang133@outlook.com\",\ncomment = c(ORCID = \"0009-0000-6721-5653\")),\nperson(given = \"Lei\",\nfamily = \"Guo\",\nrole = c(\"aut\", \"cph\"),\nemail = \"happygl1229@swu.edu.cn\",\ncomment = c(ORCID = \"0000-0002-8273-3587\")))",
  "Maintainer": "Haijiang Qin <haijiang133@outlook.com>",
  "Description": "Provides a unified framework for finite-mixture latent\nvariable models, including latent class analysis (LCA), latent\nprofile analysis (LPA), latent class/profile analysis with\ncovariates, and latent transition analysis (LTA), within one\nconsistent interface. Estimation methods include the\nexpectation-maximization (EM) algorithm; neural network\nestimation, which requires 'Python' and its dependent\nlibraries; integration with 'Mplus', which requires an\ninstalled copy of 'Mplus'; and stochastic EM (SEM) through the\noptional 'flexmix', 'Rmixmod', and 'RMixtComp' backends.\n'flexmix' and the default 'Rmixmod' path perform configurable\nwarm-up trajectories and promote the best candidates to full\nSEM replications. 'Rmixmod' additionally exposes its native\nstrategy interface, including chained SEM-to-EM estimation,\nwhereas 'RMixtComp' exposes its native SEM and Gibbs controls\nwithout the external warm-up stage. Model assessment includes\nthe Akaike information criterion (AIC), Bayesian information\ncriterion (BIC), Schwarz information criterion (SIC),\nconsistent AIC (CAIC), approximate weight of evidence (AWE),\nsample-size-adjusted BIC (SABIC), entropy, and average\nposterior probabilities. Model-comparison procedures include\nthe ordinary likelihood-ratio test, the Mplus TECH11\nVuong-Lo-Mendell-Rubin and adjusted Lo-Mendell-Rubin tests, and\nfixed-replicate or sequential parametric bootstrap\nlikelihood-ratio tests. Standard errors can be estimated by\nnonparametric bootstrap, numerical observed information, or\nanalytic observed information based on Louis' identity.\nClassification-error-adjusted maximum-likelihood and\nBolck-Croon-Hagenaars three-step methods support covariates\npredicting latent membership, initial-status and transition\nregressions, and latent classes or states predicting continuous\nand categorical external observed dependent variables.\nSimulation, posterior-probability, classification-error,\nextraction, summary, plotting, model-adjustment, and update\nutilities are also provided for reproducible workflows.",
  "License": "GPL-3",
  "Encoding": "UTF-8",
  "NeedsCompilation": "yes",
  "Collate": "'adjust.response.R' 'adjust.model.R' 'check.response.R'\n'compare.model.R' 'EM.LCA.R' 'EM.LPA.R' 'get.AvePP.R'\n'get.CEP.R' 'get.entropy.R' 'get.fit.index.R'\n'get.Log.Lik.LCA.R' 'get.Log.Lik.LPA.R' 'get.Log.Lik.LTA.R'\n'get.npar.LCA.R' 'get.npar.LPA.R' 'get.npar.LTA.R'\n'get.P.Z.Xn.LCA.R' 'get.P.Z.Xn.LPA.R' 'get.SE.R'\n'three.step.utils.R' 'ZY.utils.R' 'ML.ZY.utils.R'\n'BCH.XZ.utils.R' 'install_python_dependencies.R' 'Kmeans.LCA.R'\n'Kmeans.LPA.R' 'LCA.R' 'ML.XZ.LCPA.R' 'BCH.XZ.LCPA.R'\n'XZ.LCPA.R' 'BCH.ZY.LCPA.R' 'ML.ZY.LCPA.R' 'ZY.LCPA.R' 'LCPA.R'\n'logit.R' 'LPA.R' 'ML.XZ.LTA.R' 'BCH.XZ.LTA.R' 'XZ.LTA.R'\n'BCH.ZY.LTA.R' 'ML.ZY.LTA.R' 'ZY.LTA.R' 'LTA.R' 'LRT.test.R'\n'LRT.test.Bootstrap.R' 'LRT.test.VLMR.R' 'Mplus.LCA.R'\n'Mplus.LPA.R' 'normalize.R' 'plotResponse.R' 'Rmixmod.utils.R'\n'Rmixmod.LCA.R' 'Rmixmod.LPA.R' 'RMixtComp.utils.R'\n'RMixtComp.LCA.R' 'RMixtComp.LPA.R' 'flexmix.utils.R'\n'flexmix.LCA.R' 'flexmix.LPA.R' 'RcppExports.R' 'rdirichlet.R'\n'S3extract.R' 'S3plot.R' 'S3print.R' 'S3summary.R' 'S3update.R'\n'simulation.utils.R' 'sim.correlation.R' 'sim.LCA.R'\n'sim.LPA.R' 'sim.LTA.R' 'tools.R' 'utils.R' 'zzz.R'",
  "Config/roxygen2/version": "8.1.0",
  "Packaged": {
    "Date": "2026-10-07 12:24:39 UTC",
    "User": "root"
  },
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2026-09-06 22:50:10 UTC",
  "RemoteUrl": "https://github.com/cran/LCPA",
  "RemoteRef": "HEAD",
  "RemoteSha": "44e94bb23147684ce84100d28fa4e42d7c295dc1",
  "_user": "cran",
  "_type": "src",
  "_file": "LCPA_1.0.4.tar.gz",
  "_fileid": "https://r2.ropensci.org/7fe5dd63a3fb6ebbf21cc73069857768a0105f31dfa3b1a2ce0e73c2db892961",
  "_filesize": 1148017,
  "_sha256": "7fe5dd63a3fb6ebbf21cc73069857768a0105f31dfa3b1a2ce0e73c2db892961",
  "_expires": "2027-01-15T12:32:07.000Z",
  "_created": "2026-10-07T12:24:39.000Z",
  "_published": "2026-10-07T12:32:09.540Z",
  "_buildurl": "https://github.com/r-universe/cran/actions/runs/37620370387",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_jobs": [
    {
      "job": 112790796346,
      "time": 199,
      "config": "linux-devel-arm64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "11481194584"
    },
    {
      "job": 112790796170,
      "time": 224,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "11481759124"
    },
    {
      "job": 112790796377,
      "time": 197,
      "config": "linux-release-arm64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "11481794012"
    },
    {
      "job": 112790796210,
      "time": 224,
      "config": "linux-release-x86_64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "11481499451"
    },
    {
      "job": 112788988446,
      "time": 264,
      "config": "source",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "11481198902"
    },
    {
      "job": 112790796195,
      "time": 193,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "11481249476"
    },
    {
      "job": 112790796352,
      "time": 339,
      "config": "windows-devel-arm64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "11482357541"
    },
    {
      "job": 112790796380,
      "time": 283,
      "config": "windows-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "11481254666"
    },
    {
      "job": 112790796297,
      "time": 297,
      "config": "windows-release-arm64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "11481399889"
    },
    {
      "job": 112790796258,
      "time": 276,
      "config": "windows-release-x86_64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "11481873523"
    }
  ],
  "_upstream": "https://github.com/cran/LCPA",
  "_commit": {
    "id": "44e94bb23147684ce84100d28fa4e42d7c295dc1",
    "author": "Haijiang Qin <haijiang133@outlook.com>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 1.0.4\n",
    "time": 1788735010
  },
  "_maintainer": {
    "name": "Haijiang Qin",
    "email": "haijiang133@outlook.com",
    "login": "haijiangq",
    "description": "",
    "uuid": 107847546,
    "orcid": "0009-0000-6721-5653"
  },
  "_distro": "resolute",
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 4.1.0",
      "role": "Depends"
    },
    {
      "package": "Rcpp",
      "role": "LinkingTo"
    },
    {
      "package": "RcppArmadillo",
      "role": "LinkingTo"
    },
    {
      "package": "reticulate",
      "role": "Imports"
    },
    {
      "package": "methods",
      "role": "Imports"
    },
    {
      "package": "CompQuadForm",
      "role": "Imports"
    },
    {
      "package": "clue",
      "role": "Imports"
    },
    {
      "package": "ggplot2",
      "role": "Imports"
    },
    {
      "package": "tidyr",
      "role": "Imports"
    },
    {
      "package": "dplyr",
      "role": "Imports"
    },
    {
      "package": "mvtnorm",
      "role": "Imports"
    },
    {
      "package": "Matrix",
      "role": "Imports"
    },
    {
      "package": "MASS",
      "role": "Imports"
    },
    {
      "package": "MplusAutomation",
      "role": "Imports"
    },
    {
      "package": "tidyselect",
      "role": "Imports"
    },
    {
      "package": "numDeriv",
      "role": "Imports"
    },
    {
      "package": "nloptr",
      "role": "Imports"
    },
    {
      "package": "patchwork",
      "role": "Imports"
    },
    {
      "package": "Rcpp",
      "role": "Imports"
    },
    {
      "package": "reshape2",
      "role": "Imports"
    },
    {
      "package": "scales",
      "role": "Imports"
    },
    {
      "package": "flexmix",
      "role": "Suggests"
    },
    {
      "package": "Rmixmod",
      "role": "Suggests"
    },
    {
      "package": "RMixtComp",
      "role": "Suggests"
    },
    {
      "package": "RMixtCompUtilities",
      "role": "Suggests"
    }
  ],
  "_owner": "cran",
  "_selfowned": false,
  "_usedby": 0,
  "_updates": [
    {
      "week": "2026-04",
      "n": 1
    },
    {
      "week": "2026-09",
      "n": 1
    },
    {
      "week": "2026-15",
      "n": 1
    },
    {
      "week": "2026-36",
      "n": 1
    }
  ],
  "_tags": [
    {
      "name": "1.0.0",
      "date": "2026-01-22"
    },
    {
      "name": "1.0.1",
      "date": "2026-02-27"
    },
    {
      "name": "1.0.2",
      "date": "2026-04-10"
    },
    {
      "name": "1.0.4",
      "date": "2026-09-06"
    }
  ],
  "_stars": 0,
  "_contributors": [
    {
      "user": "haijiangq",
      "count": 4,
      "uuid": 107847546
    }
  ],
  "_userbio": {
    "uuid": 6899542,
    "type": "organization",
    "name": "cran",
    "followers": 630,
    "description": "Unofficial read-only mirror of all CRAN R packages"
  },
  "_downloads": {
    "count": 467,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/LCPA"
  },
  "_searchresults": 0,
  "_topics": [
    "openblas",
    "cpp",
    "openmp"
  ],
  "_rbuild": "4.6.1",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/LCPA.html",
    "extra/manual.pdf",
    "extra/NEWS.html",
    "extra/NEWS.txt"
  ],
  "_realowner": "haijiangq",
  "_cranurl": false,
  "_releases": [
    {
      "version": "1.0.0",
      "date": "2026-01-22"
    },
    {
      "version": "1.0.1",
      "date": "2026-02-27"
    },
    {
      "version": "1.0.2",
      "date": "2026-04-10"
    },
    {
      "version": "1.0.4",
      "date": "2026-09-08"
    }
  ],
  "_exports": [
    "adjust.model",
    "adjust.response",
    "check.response",
    "compare.model",
    "extract",
    "get.AvePP",
    "get.CEP",
    "get.entropy",
    "get.fit.index",
    "get.Log.Lik.LCA",
    "get.Log.Lik.LPA",
    "get.Log.Lik.LTA",
    "get.npar.LCA",
    "get.npar.LPA",
    "get.npar.LTA",
    "get.P.Z.Xn.LCA",
    "get.P.Z.Xn.LPA",
    "get.SE",
    "install_python_dependencies",
    "Kmeans.LCA",
    "Kmeans.LPA",
    "LCA",
    "LCPA",
    "logit",
    "LPA",
    "LRT.test",
    "LRT.test.Bootstrap",
    "LRT.test.VLMR",
    "LTA",
    "normalize",
    "plotResponse",
    "rdirichlet",
    "sim.correlation",
    "sim.LCA",
    "sim.LPA",
    "sim.LTA"
  ],
  "_help": [
    {
      "page": "adjust.model",
      "title": "Align Latent Class/Profile Models via Optimal Permutation",
      "topics": [
        "adjust.model"
      ]
    },
    {
      "page": "adjust.response",
      "title": "Adjust Categorical Response Data for Polytomous Indicators",
      "topics": [
        "adjust.response"
      ]
    },
    {
      "page": "check.response",
      "title": "Validate response matrix against expected polytomous category counts",
      "topics": [
        "check.response"
      ]
    },
    {
      "page": "compare.model",
      "title": "Model Comparison Tool",
      "topics": [
        "compare.model"
      ]
    },
    {
      "page": "extract",
      "title": "S3 Methods: extract",
      "topics": [
        "extract",
        "extract.compare.model",
        "extract.fit.index",
        "extract.LCA",
        "extract.LCPA",
        "extract.LPA",
        "extract.LTA",
        "extract.SE",
        "extract.sim.LCA",
        "extract.sim.LPA",
        "extract.sim.LTA"
      ]
    },
    {
      "page": "get.AvePP",
      "title": "Calculate Average Posterior Probability (AvePP)",
      "topics": [
        "get.AvePP"
      ]
    },
    {
      "page": "get.CEP",
      "title": "Compute Classification Error Probability (CEP) Matrices",
      "topics": [
        "get.CEP"
      ]
    },
    {
      "page": "get.entropy",
      "title": "Calculate Classification Entropy",
      "topics": [
        "get.entropy"
      ]
    },
    {
      "page": "get.fit.index",
      "title": "Calculate Fit Indices",
      "topics": [
        "get.fit.index"
      ]
    },
    {
      "page": "get.Log.Lik.LCA",
      "title": "Calculate Log-Likelihood for Latent Class Analysis",
      "topics": [
        "get.Log.Lik.LCA"
      ]
    },
    {
      "page": "get.Log.Lik.LPA",
      "title": "Calculate Log-Likelihood for Latent Profile Analysis",
      "topics": [
        "get.Log.Lik.LPA"
      ]
    },
    {
      "page": "get.Log.Lik.LTA",
      "title": "Calculate Log-Likelihood for Latent Transition Analysis",
      "topics": [
        "get.Log.Lik.LTA"
      ]
    },
    {
      "page": "get.npar.LCA",
      "title": "Calculate Number of Free Parameters in Latent Class Analysis",
      "topics": [
        "get.npar.LCA"
      ]
    },
    {
      "page": "get.npar.LPA",
      "title": "Calculate Number of Free Parameters in Latent Profile Analysis",
      "topics": [
        "get.npar.LPA"
      ]
    },
    {
      "page": "get.npar.LTA",
      "title": "Calculate Number of Free Parameters in Latent Transition Analysis",
      "topics": [
        "get.npar.LTA"
      ]
    },
    {
      "page": "get.P.Z.Xn.LCA",
      "title": "Compute Posterior Latent Class Probabilities Based on Fixed Parameters",
      "topics": [
        "get.P.Z.Xn.LCA"
      ]
    },
    {
      "page": "get.P.Z.Xn.LPA",
      "title": "Compute Posterior Latent Profile Probabilities Based on Fixed Parameters",
      "topics": [
        "get.P.Z.Xn.LPA"
      ]
    },
    {
      "page": "get.SE",
      "title": "Compute Standard Errors",
      "topics": [
        "get.SE"
      ]
    },
    {
      "page": "install_python_dependencies",
      "title": "Install Required Python Dependencies for Neural Latent Variable Models",
      "topics": [
        "install_python_dependencies"
      ]
    },
    {
      "page": "Kmeans.LCA",
      "title": "Initialize LCA Parameters via K-means Clustering",
      "topics": [
        "Kmeans.LCA"
      ]
    },
    {
      "page": "Kmeans.LPA",
      "title": "Initialize LPA Parameters via K-means Clustering",
      "topics": [
        "Kmeans.LPA"
      ]
    },
    {
      "page": "LCA",
      "title": "Fit Latent Class Analysis Models",
      "topics": [
        "LCA"
      ]
    },
    {
      "page": "LCPA",
      "title": "Three-step latent class/profile analysis",
      "topics": [
        "LCPA"
      ]
    },
    {
      "page": "logit",
      "title": "Compute the Logistic (Sigmoid) Function",
      "topics": [
        "logit"
      ]
    },
    {
      "page": "LPA",
      "title": "Fit Latent Profile Analysis",
      "topics": [
        "LPA"
      ]
    },
    {
      "page": "LRT.test",
      "title": "Likelihood Ratio Test",
      "topics": [
        "LRT.test"
      ]
    },
    {
      "page": "LRT.test.Bootstrap",
      "title": "Bootstrap Likelihood Ratio Test for Latent Class/Profile Models",
      "topics": [
        "LRT.test.Bootstrap"
      ]
    },
    {
      "page": "LRT.test.VLMR",
      "title": "Vuong-Lo-Mendell-Rubin likelihood ratio test",
      "topics": [
        "LRT.test.VLMR"
      ]
    },
    {
      "page": "LTA",
      "title": "Latent Transition Analysis",
      "topics": [
        "LTA"
      ]
    },
    {
      "page": "normalize",
      "title": "Column-wise Z-Score Standardization",
      "topics": [
        "normalize"
      ]
    },
    {
      "page": "plot",
      "title": "S3 Methods: plot",
      "topics": [
        "plot",
        "plot.LCA",
        "plot.LPA"
      ]
    },
    {
      "page": "plotResponse",
      "title": "Visualize Response Distributions with Density Plots",
      "topics": [
        "plotResponse"
      ]
    },
    {
      "page": "print",
      "title": "S3 Methods: print",
      "topics": [
        "print",
        "print.compare.model",
        "print.fit.index",
        "print.LCA",
        "print.LCPA",
        "print.LPA",
        "print.LTA",
        "print.SE",
        "print.sim.LCA",
        "print.sim.LPA",
        "print.sim.LTA",
        "print.summary.compare.model",
        "print.summary.fit.index",
        "print.summary.LCA",
        "print.summary.LCPA",
        "print.summary.LPA",
        "print.summary.LTA",
        "print.summary.SE",
        "print.summary.sim.LCA",
        "print.summary.sim.LPA",
        "print.summary.sim.LTA"
      ]
    },
    {
      "page": "rdirichlet",
      "title": "Generate Random Samples from the Dirichlet Distribution",
      "topics": [
        "rdirichlet"
      ]
    },
    {
      "page": "sim.correlation",
      "title": "Generate a Random Correlation Matrix via C-Vine Partial Correlations",
      "topics": [
        "sim.correlation"
      ]
    },
    {
      "page": "sim.LCA",
      "title": "Simulate Data for Latent Class Analysis",
      "topics": [
        "sim.LCA"
      ]
    },
    {
      "page": "sim.LPA",
      "title": "Simulate Data for Latent Profile Analysis",
      "topics": [
        "sim.LPA"
      ]
    },
    {
      "page": "sim.LTA",
      "title": "Simulate Data for Latent Transition Analysis (LTA)",
      "topics": [
        "sim.LTA"
      ]
    },
    {
      "page": "summary",
      "title": "S3 Methods: summary",
      "topics": [
        "summary",
        "summary.compare.model",
        "summary.fit.index",
        "summary.LCA",
        "summary.LCPA",
        "summary.LPA",
        "summary.LTA",
        "summary.SE",
        "summary.sim.LCA",
        "summary.sim.LPA",
        "summary.sim.LTA"
      ]
    },
    {
      "page": "update",
      "title": "S3 Methods: update",
      "topics": [
        "update",
        "update.LCA",
        "update.LCPA",
        "update.LPA",
        "update.LTA",
        "update.sim.LCA",
        "update.sim.LPA",
        "update.sim.LTA"
      ]
    }
  ],
  "_rundeps": [
    "askpass",
    "backports",
    "boot",
    "checkmate",
    "cli",
    "clue",
    "cluster",
    "coda",
    "CompQuadForm",
    "cpp11",
    "curl",
    "data.table",
    "digest",
    "dplyr",
    "farver",
    "fastDummies",
    "generics",
    "ggplot2",
    "glue",
    "gsubfn",
    "gtable",
    "here",
    "httr",
    "isoband",
    "jsonlite",
    "labeling",
    "lattice",
    "lifecycle",
    "magrittr",
    "MASS",
    "Matrix",
    "mime",
    "MplusAutomation",
    "mvtnorm",
    "nloptr",
    "numDeriv",
    "openssl",
    "pander",
    "patchwork",
    "pillar",
    "pkgconfig",
    "plyr",
    "png",
    "proto",
    "purrr",
    "R6",
    "rappdirs",
    "RColorBrewer",
    "Rcpp",
    "RcppArmadillo",
    "RcppTOML",
    "reshape2",
    "reticulate",
    "rlang",
    "rprojroot",
    "S7",
    "scales",
    "stringi",
    "stringr",
    "sys",
    "texreg",
    "tibble",
    "tidyr",
    "tidyselect",
    "utf8",
    "vctrs",
    "viridisLite",
    "withr",
    "xtable"
  ],
  "_sysdeps": [
    {
      "shlib": "liblapack",
      "package": "libopenblas0-pthread",
      "source": "openblas",
      "version": "0.3.32+ds-5",
      "name": "openblas",
      "homepage": "https://www.openblas.net/",
      "description": "Optimized BLAS (linear algebra) library (shared lib, pthread)"
    },
    {
      "shlib": "libblas",
      "package": "libopenblas0-pthread",
      "source": "openblas",
      "version": "0.3.32+ds-5",
      "name": "openblas",
      "homepage": "https://www.openblas.net/",
      "description": "Optimized BLAS (linear algebra) library (shared lib, pthread)"
    },
    {
      "shlib": "libstdc++",
      "package": "libstdc++6",
      "source": "gcc",
      "version": "16-20260322-1ubuntu1",
      "name": "c++",
      "homepage": "http://gcc.gnu.org/",
      "description": "GNU Standard C++ Library v3"
    },
    {
      "shlib": "libgomp",
      "package": "libgomp1",
      "source": "gcc",
      "version": "16-20260322-1ubuntu1",
      "name": "openmp",
      "homepage": "http://gcc.gnu.org/",
      "description": "GCC OpenMP (GOMP) support library"
    }
  ],
  "_score": 1.6020599913279625,
  "_indexed": false,
  "_nocasepkg": "lcpa",
  "_universes": [
    "cran"
  ],
  "_indexurl": "https://haijiangq.r-universe.dev/LCPA",
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "1.0.4",
      "date": "2026-10-07T12:27:50.000Z",
      "distro": "resolute",
      "arch": "aarch64",
      "commit": "44e94bb23147684ce84100d28fa4e42d7c295dc1",
      "fileid": "https://r2.ropensci.org/803b19dc7c7040068f52be3944ed6b4ae887c7e8c6ab297818f100c534a2456b",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/37620370387"
    },
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "1.0.4",
      "date": "2026-10-07T12:28:12.000Z",
      "distro": "resolute",
      "arch": "x86_64",
      "commit": "44e94bb23147684ce84100d28fa4e42d7c295dc1",
      "fileid": "https://r2.ropensci.org/5239bd7d7285529f530e7bed9446afc24bb58dccf9b843b147a9c17e4dddc98d",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/37620370387"
    },
    {
      "r": "4.6.1",
      "os": "linux",
      "version": "1.0.4",
      "date": "2026-10-07T12:27:48.000Z",
      "distro": "resolute",
      "arch": "aarch64",
      "commit": "44e94bb23147684ce84100d28fa4e42d7c295dc1",
      "fileid": "https://r2.ropensci.org/f2f1c445e03ccfed32c74cf3c531f1e4b05b891eb3c4bc53899c16076973996e",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/37620370387"
    },
    {
      "r": "4.6.1",
      "os": "linux",
      "version": "1.0.4",
      "date": "2026-10-07T12:28:11.000Z",
      "distro": "resolute",
      "arch": "x86_64",
      "commit": "44e94bb23147684ce84100d28fa4e42d7c295dc1",
      "fileid": "https://r2.ropensci.org/862925f8cbd62f953e6a0a09ca3d7f3ea6a7dac30012dcda109cc7c10cf24ea5",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/37620370387"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "1.0.4",
      "date": "2026-10-07T12:28:42.000Z",
      "arch": "emscripten",
      "commit": "44e94bb23147684ce84100d28fa4e42d7c295dc1",
      "fileid": "https://r2.ropensci.org/266e2f5a9c98ebfe3dbfe54f00bc821f3d0cb806b53460c6769136e8212f9a69",
      "status": "success",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/37620370387"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "1.0.4",
      "date": "2026-10-07T12:29:32.000Z",
      "arch": "aarch64",
      "commit": "44e94bb23147684ce84100d28fa4e42d7c295dc1",
      "fileid": "https://r2.ropensci.org/8fb4f568791f8fac7ae476e591be44d428e75e8c5a5fdd0721400980786377ea",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/37620370387"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "1.0.4",
      "date": "2026-10-07T12:27:22.000Z",
      "arch": "x86_64",
      "commit": "44e94bb23147684ce84100d28fa4e42d7c295dc1",
      "fileid": "https://r2.ropensci.org/ebe25351fe78648b37e0465f0a1ca65116d25bfee42c26aa7cb48a677ba7586a",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/37620370387"
    },
    {
      "r": "4.6.1",
      "os": "win",
      "version": "1.0.4",
      "date": "2026-10-07T12:28:51.000Z",
      "arch": "aarch64",
      "commit": "44e94bb23147684ce84100d28fa4e42d7c295dc1",
      "fileid": "https://r2.ropensci.org/20a6abd954f5d7ae8fe0a833da5b70eaf05f94c57fb82af62c26489c5b15b3b3",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/37620370387"
    },
    {
      "r": "4.6.1",
      "os": "win",
      "version": "1.0.4",
      "date": "2026-10-07T12:28:23.000Z",
      "arch": "x86_64",
      "commit": "44e94bb23147684ce84100d28fa4e42d7c295dc1",
      "fileid": "https://r2.ropensci.org/3926f8156d032ecdb4065f975b776e2295c56b392bfa6012c4bea744d3db1aef",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/37620370387"
    }
  ]
}