{ "_id": "6a1f1f94b401979e734201b5", "Package": "lavDiag", "Title": "Latent Variable Models Diagnostics", "Version": "0.1.0", "Authors@R": "person(\"Karel\", \"Rečka\", , \"reckak@mail.muni.cz\", role = c(\"aut\", \"cre\"))", "Description": "Diagnostics and visualization tools for latent variable\nmodels fitted with 'lavaan' (Rosseel, 2012\n). The package provides fast,\nparallel-safe factor-score prediction (lavPredict_parallel()),\ndata augmentation with model predictions, residuals,\ndelta-method standard errors and confidence intervals\n(augment()), and model-based latent grids for continuous,\nordinal, or mixed indicators (prepare()). It offers item-level\nempirical versus model curve comparison using generalized\nadditive models for both continuous and ordinal indicators\n(item_data(), item_plot()) via 'mgcv' (Wood, 2017,\nISBN:9781498728331), residual diagnostics including residual\ncorrelation tables and plots (resid_cor(), resid_corrplot())\nusing 'corrplot' (Wei and Simko, 2021\n), and Q–Q checks of\nresidual z-statistics (resid_qq()), optionally with\nnon-overlapping labels from 'ggrepel' (Slowikowski, 2024\n). Heavy\ncomputations are parallelized via 'future'/'furrr' (Bengtsson,\n2021 ; Vaughan and Dancho, 2018\n). Methods build on\nestablished literature and packages listed above.", "License": "MIT + file LICENSE", "URL": "https://github.com/reckak/lavDiag", "BugReports": "https://github.com/reckak/lavDiag/issues", "Encoding": "UTF-8", "Language": "en-US", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.3", "Config/testthat/edition": "3", "Config/pak/sysreqs": "cmake libglpk-dev make libicu-dev libuv1-dev\nlibxml2-dev", "Repository": "https://reckak.r-universe.dev", "Date/Publication": "2026-01-20 17:40:45 UTC", "RemoteUrl": "https://github.com/reckak/lavdiag", "RemoteRef": "HEAD", "RemoteSha": "fbef85c5c225abf982644b20dacb711d1b356e3b", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-16 08:04:44 UTC", "User": "root" }, "Author": "Karel Rečka [aut, cre]", "Maintainer": "Karel Rečka ", "MD5sum": "e90c10aaee05b8d3ca5c0ba53b603e9e", "_user": "reckak", "_type": "src", "_file": "lavDiag_0.1.0.tar.gz", "_fileid": "3949d8ebdfc65a9cf39008cf05f3680afe4cea9fbbb1b224774173b17ec25358", 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"Imports" }, { "package": "dplyr", "role": "Imports" }, { "package": "furrr", "role": "Imports" }, { "package": "future", "role": "Imports" }, { "package": "future.apply", "role": "Imports" }, { "package": "ggplot2", "role": "Imports" }, { "package": "ggrepel", "role": "Imports" }, { "package": "igraph", "role": "Imports" }, { "package": "lavaan", "role": "Imports" }, { "package": "mgcv", "role": "Imports" }, { "package": "purrr", "role": "Imports" }, { "package": "rlang", "role": "Imports" }, { "package": "stringr", "role": "Imports" }, { "package": "tibble", "role": "Imports" }, { "package": "tidyselect", "role": "Imports" }, { "package": "tidyr", "role": "Imports" }, { "package": "vctrs", "role": "Imports" }, { "package": "visNetwork", "role": "Imports" }, { "package": "withr", "role": "Imports" }, { "package": "spelling", "role": "Suggests" }, { "package": "testthat", "version": ">= 3.0.0", "role": "Suggests" } ], "_owner": "reckak", "_selfowned": true, "_usedby": 0, "_updates": [ 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