{
  "_id": "6a1ff063b401979e73442001",
  "Package": "galamm",
  "Title": "Generalized Additive Latent and Mixed Models",
  "Version": "0.4.0",
  "Authors@R": "c(\nperson(given = \"Øystein\",\nfamily = \"Sørensen\",\nrole = c(\"aut\", \"cre\"),\nemail = \"oystein.sorensen@psykologi.uio.no\",\ncomment = c(ORCID = \"0000-0003-0724-3542\")),\nperson(given = \"Douglas\", family = \"Bates\", role = \"ctb\"),\nperson(given = \"Ben\", family = \"Bolker\", role = \"ctb\"),\nperson(given = \"Martin\", family = \"Maechler\", role = \"ctb\"),\nperson(given = \"Allan\", family = \"Leal\", role = \"ctb\"),\nperson(given = \"Fabian\", family = \"Scheipl\", role = \"ctb\"),\nperson(given = \"Steven\", family = \"Walker\", role = \"ctb\"),\nperson(given = \"Simon\", family = \"Wood\", role = \"ctb\")\n)",
  "Description": "Estimates generalized additive latent and mixed models\nusing maximum marginal likelihood, as defined in Sorensen et\nal. (2023) <doi:10.1007/s11336-023-09910-z>, which is an\nextension of Rabe-Hesketh and Skrondal (2004)'s unifying\nframework for multilevel latent variable modeling\n<doi:10.1007/BF02295939>. Efficient computation is done using\nsparse matrix methods, Laplace approximation, and automatic\ndifferentiation. The framework includes generalized multilevel\nmodels with heteroscedastic residuals, mixed response types,\nfactor loadings, smoothing splines, crossed random effects, and\ncombinations thereof. Syntax for model formulation is close to\n'lme4' (Bates et al. (2015) <doi:10.18637/jss.v067.i01>) and\n'PLmixed' (Rockwood and Jeon (2019)\n<doi:10.1080/00273171.2018.1516541>).",
  "License": "GPL (>= 3)",
  "URL": "https://github.com/LCBC-UiO/galamm,\nhttps://lcbc-uio.github.io/galamm/",
  "BugReports": "https://github.com/LCBC-UiO/galamm/issues",
  "Encoding": "UTF-8",
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  "Config/pak/sysreqs": "cmake make libicu-dev",
  "Repository": "https://lcbc-uio.r-universe.dev",
  "Date/Publication": "2026-06-03 08:38:29 UTC",
  "RemoteUrl": "https://github.com/LCBC-UiO/galamm",
  "RemoteRef": "HEAD",
  "RemoteSha": "e9e27fcb661288eff07db4f4063e1298ff36edbd",
  "Packaged": {
    "Date": "2026-06-03 09:05:34 UTC",
    "User": "root"
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  "Author": "Øystein Sørensen [aut, cre] (ORCID:\n<https://orcid.org/0000-0003-0724-3542>),\nDouglas Bates [ctb],\nBen Bolker [ctb],\nMartin Maechler [ctb],\nAllan Leal [ctb],\nFabian Scheipl [ctb],\nSteven Walker [ctb],\nSimon Wood [ctb]",
  "Maintainer": "Øystein Sørensen <oystein.sorensen@psykologi.uio.no>",
  "MD5sum": "075780734ff2e88f4d7ec13400ecd487",
  "_user": "lcbc-uio",
  "_type": "src",
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  "_created": "2026-06-03T09:05:34.000Z",
  "_published": "2026-06-03T09:14:11.764Z",
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    "author": "Øystein Sørensen <oystein_sorensen@hotmail.com>",
    "committer": "GitHub <noreply@github.com>",
    "message": "Merge pull request #255 from LCBC-UiO/codex/update-varcorr-snapshots\n\nUpdate VarCorr snapshots for lme4 output",
    "time": 1780475909
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    "hierarchical-models",
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    "latent-variable-models",
    "structural-equation-models",
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  "_rbuild": "4.6.0",
  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
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    "extra/readme.html",
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  "_homeurl": "https://github.com/lcbc-uio/galamm",
  "_realowner": "lcbc-uio",
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    "derivatives",
    "draw",
    "extract_optim_parameters",
    "factor_loadings",
    "fixef",
    "galamm",
    "galamm_control",
    "gfam",
    "plot_smooth",
    "qqmath",
    "ranef",
    "response",
    "s",
    "sl",
    "t2",
    "t2l",
    "VarCorr"
  ],
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      "title": "Simulated Data with Measurements of Cognitive Abilities",
      "object": "cognition",
      "class": [
        "data.frame"
      ],
      "fields": [
        "id",
        "domain",
        "x",
        "timepoint",
        "item",
        "trials",
        "y"
      ],
      "rows": 14400,
      "table": false,
      "tojson": true
    },
    {
      "name": "diet",
      "title": "Diet Data",
      "object": "diet",
      "class": [
        "data.frame"
      ],
      "fields": [
        "id",
        "age",
        "bus",
        "item",
        "y",
        "chd",
        "fiber",
        "fiber2"
      ],
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      "table": false,
      "tojson": true
    },
    {
      "name": "epilep",
      "title": "Epilepsy Data",
      "object": "epilep",
      "class": [
        "data.frame"
      ],
      "fields": [
        "subj",
        "y",
        "treat",
        "visit",
        "v4",
        "lage",
        "lbas"
      ],
      "rows": 236,
      "table": true,
      "tojson": true
    },
    {
      "name": "hsced",
      "title": "Example Data with Heteroscedastic Residuals",
      "object": "hsced",
      "class": [
        "data.frame"
      ],
      "fields": [
        "id",
        "tp",
        "item",
        "x",
        "y"
      ],
      "rows": 1200,
      "table": true,
      "tojson": true
    },
    {
      "name": "latent_covariates",
      "title": "Simulated Data with Latent and Observed Covariates Interaction",
      "object": "latent_covariates",
      "class": [
        "data.frame"
      ],
      "fields": [
        "id",
        "type",
        "x",
        "y",
        "response"
      ],
      "rows": 600,
      "table": true,
      "tojson": true
    },
    {
      "name": "latent_covariates_long",
      "title": "Simulated Longitudinal Data with Latent and Observed Covariates Interaction",
      "object": "latent_covariates_long",
      "class": [
        "data.frame"
      ],
      "fields": [
        "id",
        "type",
        "x",
        "y",
        "response"
      ],
      "rows": 800,
      "table": true,
      "tojson": true
    },
    {
      "name": "lifespan",
      "title": "Simulated Dataset with Lifespan Trajectories of Three Cognitive Domains",
      "object": "lifespan",
      "class": [
        "data.frame"
      ],
      "fields": [
        "id",
        "domain",
        "timepoint",
        "age",
        "test",
        "y",
        "retest",
        "domainepmem",
        "domainwmem",
        "domainexecfun"
      ],
      "rows": 54457,
      "table": true,
      "tojson": true
    },
    {
      "name": "mresp",
      "title": "Simulated Mixed Response Data",
      "object": "mresp",
      "class": [
        "data.frame"
      ],
      "fields": [
        "id",
        "x",
        "y",
        "itemgroup"
      ],
      "rows": 4000,
      "table": false,
      "tojson": true
    },
    {
      "name": "mresp_hsced",
      "title": "Simulated Mixed Response Data with Heteroscedastic Residuals",
      "object": "mresp_hsced",
      "class": [
        "data.frame"
      ],
      "fields": [
        "id",
        "x",
        "y",
        "itemgroup",
        "grp",
        "isgauss"
      ],
      "rows": 4000,
      "table": false,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "anova.galamm",
      "title": "Compare likelihoods of galamm objects",
      "concept": [
        "summary functions"
      ],
      "topics": [
        "anova.galamm"
      ]
    },
    {
      "page": "appraise.galamm",
      "title": "Gratia style model diagnostic plots",
      "concept": [
        "details of model fit"
      ],
      "topics": [
        "appraise",
        "appraise.galamm"
      ]
    },
    {
      "page": "coef.galamm",
      "title": "Extract galamm coefficients",
      "concept": [
        "details of model fit"
      ],
      "topics": [
        "coef.galamm"
      ]
    },
    {
      "page": "cognition",
      "title": "Simulated Data with Measurements of Cognitive Abilities",
      "concept": [
        "datasets"
      ],
      "topics": [
        "cognition"
      ]
    },
    {
      "page": "confint.galamm",
      "title": "Confidence intervals for model parameters",
      "concept": [
        "details of model fit"
      ],
      "topics": [
        "confint.galamm"
      ]
    },
    {
      "page": "derivatives.galamm",
      "title": "Derivatives of estimated smooth via finite differences",
      "concept": [
        "details of model fit"
      ],
      "topics": [
        "derivatives",
        "derivatives.galamm"
      ]
    },
    {
      "page": "deviance.galamm",
      "title": "Extract deviance of galamm object",
      "concept": [
        "details of model fit"
      ],
      "topics": [
        "deviance.galamm"
      ]
    },
    {
      "page": "diet",
      "title": "Diet Data",
      "concept": [
        "datasets"
      ],
      "topics": [
        "diet"
      ]
    },
    {
      "page": "draw.galamm",
      "title": "Draw method for galamm objects",
      "concept": [
        "summary functions"
      ],
      "topics": [
        "draw",
        "draw.galamm"
      ]
    },
    {
      "page": "epilep",
      "title": "Epilepsy Data",
      "concept": [
        "datasets"
      ],
      "topics": [
        "epilep"
      ]
    },
    {
      "page": "extract_optim_parameters.galamm",
      "title": "Extract parameters from fitted model for use as initial values",
      "concept": [
        "optimization functions"
      ],
      "topics": [
        "extract_optim_parameters",
        "extract_optim_parameters.galamm"
      ]
    },
    {
      "page": "factor_loadings.galamm",
      "title": "Extract factor loadings from galamm object",
      "concept": [
        "details of model fit"
      ],
      "topics": [
        "factor_loadings",
        "factor_loadings.galamm"
      ]
    },
    {
      "page": "family.galamm",
      "title": "Extract family or families from fitted galamm",
      "concept": [
        "details of model fit"
      ],
      "topics": [
        "family.galamm"
      ]
    },
    {
      "page": "fitted.galamm",
      "title": "Extract model fitted values",
      "concept": [
        "details of model fit"
      ],
      "topics": [
        "fitted.galamm"
      ]
    },
    {
      "page": "fixef",
      "title": "Extract fixed effects from galamm objects",
      "concept": [
        "details of model fit"
      ],
      "topics": [
        "fixef",
        "fixef.galamm"
      ]
    },
    {
      "page": "formula.galamm",
      "title": "Extract formula from fitted galamm object",
      "concept": [
        "details of model fit"
      ],
      "topics": [
        "formula.galamm"
      ]
    },
    {
      "page": "galamm",
      "title": "Fit a generalized additive latent and mixed model",
      "concept": [
        "modeling functions"
      ],
      "topics": [
        "galamm"
      ]
    },
    {
      "page": "galamm_control",
      "title": "Control values for galamm fit",
      "concept": [
        "optimization functions"
      ],
      "topics": [
        "galamm_control"
      ]
    },
    {
      "page": "galammObject",
      "title": "Class \"galamm\"",
      "concept": [
        "modeling functions"
      ],
      "topics": [
        "galammObject"
      ]
    },
    {
      "page": "gfam",
      "title": "Grouped families",
      "concept": [
        "modeling functions"
      ],
      "topics": [
        "gfam"
      ]
    },
    {
      "page": "hsced",
      "title": "Example Data with Heteroscedastic Residuals",
      "concept": [
        "datasets"
      ],
      "topics": [
        "hsced"
      ]
    },
    {
      "page": "latent_covariates",
      "title": "Simulated Data with Latent and Observed Covariates Interaction",
      "concept": [
        "datasets"
      ],
      "topics": [
        "latent_covariates"
      ]
    },
    {
      "page": "latent_covariates_long",
      "title": "Simulated Longitudinal Data with Latent and Observed Covariates Interaction",
      "concept": [
        "datasets"
      ],
      "topics": [
        "latent_covariates_long"
      ]
    },
    {
      "page": "lifespan",
      "title": "Simulated Dataset with Lifespan Trajectories of Three Cognitive Domains",
      "concept": [
        "datasets"
      ],
      "topics": [
        "lifespan"
      ]
    },
    {
      "page": "logLik.galamm",
      "title": "Extract Log-Likelihood of galamm Object",
      "concept": [
        "details of model fit"
      ],
      "topics": [
        "logLik.galamm"
      ]
    },
    {
      "page": "model.frame.galamm",
      "title": "Extract the model frame from a galamm object",
      "concept": [
        "details of model fit"
      ],
      "topics": [
        "model.frame.galamm"
      ]
    },
    {
      "page": "mresp",
      "title": "Simulated Mixed Response Data",
      "concept": [
        "datasets"
      ],
      "topics": [
        "mresp"
      ]
    },
    {
      "page": "mresp_hsced",
      "title": "Simulated Mixed Response Data with Heteroscedastic Residuals",
      "concept": [
        "datasets"
      ],
      "topics": [
        "mresp_hsced"
      ]
    },
    {
      "page": "nobs.galamm",
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