{ "_id": "6a458a9e6ff6f2357552d689", "Package": "idiographic", "Type": "Package", "Title": "Network Estimation from Intensive Longitudinal Data", "Version": "0.1.0", "Authors@R": "person(\"Mohammed\", \"Saqr\", role = c(\"aut\", \"cre\"),\nemail = \"mohammed.saqr@uef.fi\")", "Author": "Mohammed Saqr [aut, cre]", "Maintainer": "Mohammed Saqr ", "Description": "Person-specific and within-person network estimation from\nintensive longitudinal and panel data. Provides preprocessing\naudits, edge-stability diagnostics, model-comparison reports,\nrolling forecast validation, rolling ordinary and graphical\nvector autoregression, ordinary vector autoregression (VAR),\ngraphical vector autoregression (graphical VAR), multilevel\nvector autoregression (mlVAR), native Bayesian VAR and\nmultilevel VAR that statistically reproduce 'Mplus' Dynamic\nStructural Equation Modeling (DSEM) output without requiring\n'Mplus', unified Structural Equation Modeling (uSEM), and Group\nIterative Multiple Model Estimation (GIMME) as clean-room\nimplementations. Split out of the 'Nestimate' package so the\nidiographic time-series methods carry their own dependencies.\nResults have tidy accessors and 'cograph_network' plotting\nsupport.", "License": "GPL-3", "Encoding": "UTF-8", "LazyData": "true", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.3", "VignetteBuilder": "knitr", "Config/testthat/edition": "3", "Config/pak/sysreqs": "cmake make", "Repository": "https://mohsaqr.r-universe.dev", "Date/Publication": "2026-07-01 20:58:22 UTC", "RemoteUrl": "https://github.com/mohsaqr/idiographic", "RemoteRef": "HEAD", "RemoteSha": "8bcb5b760c6830852cb37312e1a2c320986ac0ca", "NeedsCompilation": "no", "Packaged": { "Date": "2026-07-01 21:24:41 UTC", "User": "root" }, "MD5sum": "56e79a7addb07844a1db94fe1d2d6221", "_user": "mohsaqr", "_type": "src", "_file": "idiographic_0.1.0.tar.gz", "_fileid": "a2f158c63a7531579ace44fd117e228c60fcf8d7adf1a6e882217238144b353b", "_filesize": 3203830, "_sha256": "a2f158c63a7531579ace44fd117e228c60fcf8d7adf1a6e882217238144b353b", "_created": "2026-07-01T21:24:41.000Z", "_published": "2026-07-01T21:46:06.470Z", "_distro": "resolute", "_jobs": [ { "job": 84640582696, "time": 1083, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "ERROR", "artifact": "8023284401" }, { "job": 84640582707, "time": 1077, "config": "linux-release-x86_64", "r": "4.6.1", "check": "ERROR", "artifact": "8023282564" }, { "job": 84640582733, "time": 691, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "ERROR", "artifact": "8023150383" }, { "job": 84640582690, "time": 646, "config": "macos-release-arm64", "r": "4.6.1", "check": "ERROR", "artifact": "8023135794" }, { "job": 84639353897, "time": 440, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "8022925963" }, { "job": 84640582704, "time": 180, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "8022984656" }, { "job": 84640582714, "time": 1243, "config": "windows-devel", "r": "4.7.0", "check": "ERROR", "artifact": "8023339587" }, { "job": 84640582702, "time": 1157, "config": "windows-oldrel", "r": "4.5.3", "check": "ERROR", "artifact": "8023309729" }, { "job": 84640582712, "time": 890, "config": "windows-release", "r": "4.6.1", "check": "ERROR", "artifact": "8023216455" } ], "_buildurl": "https://github.com/r-universe/mohsaqr/actions/runs/28548371444", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/mohsaqr/idiographic", "_commit": { "id": "8bcb5b760c6830852cb37312e1a2c320986ac0ca", "author": "mohsaqr ", "committer": "mohsaqr ", "message": "Mark estimate_stability() and validate_forecast() as experimental\n\nBoth tools are methodologically grounded (block bootstrap; rolling-origin\ncross-validation) but, unlike the estimators, have no external reference\nimplementation to validate against. Plain-text Experimental labels in the\nroxygen docs, hand-written man pages, README, and their vignette; both\ndropped from the equivalence-focused overview vignette.\n", "time": 1782939502 }, "_maintainer": { "name": "Mohammed Saqr", "email": "mohammed.saqr@uef.fi" }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 4.1", "role": "Depends" }, { "package": "stats", "role": "Imports" }, { "package": "utils", "role": "Imports" }, { "package": "lme4", "role": "Imports" }, { "package": "lavaan", "role": "Imports" }, { "package": "testthat", "version": ">= 3.0.0", "role": "Suggests" }, { "package": "cograph", "role": "Suggests" }, { "package": "mlVAR", "role": "Suggests" }, { "package": "MplusAutomation", "role": "Suggests" }, { "package": "gimme", "role": "Suggests" }, { "package": "graphicalVAR", "role": "Suggests" }, { "package": "glasso", "role": "Suggests" }, { "package": "qgraph", "role": "Suggests" }, { "package": "rio", "role": "Suggests" }, { "package": 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user-specified unified SEM network", "topics": [ "build_usem" ] }, { "page": "build_var", "title": "Build an ordinary least-squares VAR network", "topics": [ "build_var" ] }, { "page": "build_var_bayes", "title": "Build a Bayesian VAR(1) network (unregularized Mplus-equivalent)", "topics": [ "build_var_bayes" ] }, { "page": "build_var_each", "title": "Fit an ordinary least-squares VAR for every subject", "topics": [ "build_var_each" ] }, { "page": "coefs", "title": "Tidy coefficients from a fitted mlvar model", "topics": [ "coefs", "coefs.default", "coefs.gvar_result", "coefs.net_gimme", "coefs.net_mlvar", "coefs.net_mlvar_bayes", "coefs.net_usem", "coefs.var_bayes_result", "coefs.var_result" ] }, { "page": "compare_idiographic", "title": "Compare idiographic estimators on one dataset", "topics": [ "compare_idiographic" ] }, { "page": "edges", "title": "Tidy edge table for any idiographic result", "topics": [ "edges", "edges.gvar_result", "edges.netobject", "edges.netobject_group", 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