{ "_id": "6a419bab4ba05a737d89eecd", "Package": "psychnets", "Title": "Clean-Room Base-R Psychometric Network Estimation", "Version": "0.2.1", "Authors@R": "person(\"Mohammed\", \"Saqr\", email = \"ueflaunit@gmail.com\",\nrole = c(\"aut\", \"cre\"))", "Description": "Estimates psychometric network models -- correlation and\npartial correlation, the EBIC-regularized Gaussian graphical\nmodel (graphical lasso), its nonparanormal and unregularized\nstepwise variants, information-filtering graphs (TMFG and\nLoGo), relative-importance networks, and the Ising and mixed\ngraphical models -- reimplemented from first principles in base\nR with no compiled dependencies. Each regularized estimator\nships a dependency-free correctness certificate (for the\nGaussian graphical model, the graphical-lasso stationarity /\nKKT residual) so a fitted network is self-verifying: its\ndistance from the unique optimum of its own convex objective is\nreported directly, rather than trusted only because it matches\nan external solver. The R counterpart to the 'psychaj'\nTypeScript library.", "License": "GPL-3", "URL": "https://github.com/mohsaqr/psychnet", "BugReports": "https://github.com/mohsaqr/psychnet/issues", "Additional_repositories": "https://mohsaqr.r-universe.dev", "Encoding": "UTF-8", "LazyData": "true", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.3", "VignetteBuilder": "knitr", "Config/testthat/edition": "3", "Repository": "https://mohsaqr.r-universe.dev", "Date/Publication": "2026-06-28 20:15:38 UTC", "RemoteUrl": "https://github.com/mohsaqr/psychnet", "RemoteRef": "HEAD", "RemoteSha": "96629041558445559943d8c79d91421ab777b380", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-28 22:04:41 UTC", "User": "root" }, "Author": "Mohammed Saqr [aut, cre]", "Maintainer": "Mohammed Saqr ", "MD5sum": "bd8b33dc875c1d67feb6cb845e0d0767", "_user": "mohsaqr", "_type": "src", "_file": "psychnets_0.2.1.tar.gz", "_fileid": "8a0e33cd19cd5ffd3123e9977060fecec5be4cafca01f05d97d8a7ff9bcafc6d", "_filesize": 997053, "_sha256": "8a0e33cd19cd5ffd3123e9977060fecec5be4cafca01f05d97d8a7ff9bcafc6d", "_created": "2026-06-28T22:04:41.000Z", "_published": "2026-06-28T22:09:47.058Z", "_distro": "resolute", "_jobs": [ { "job": 83946226638, "time": 261, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7939082550" }, { "job": 83946226644, "time": 269, "config": "linux-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "7939083410" }, { "job": 83946226651, "time": 136, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "7939066501" }, { "job": 83946226648, "time": 139, "config": "macos-release-arm64", "r": "4.6.1", "check": "OK", "artifact": "7939066628" }, { "job": 83945961693, "time": 212, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "7939048240" }, { "job": 83946226637, "time": 145, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7939067669" }, { "job": 83946226692, "time": 178, "config": "windows-devel", "r": "4.7.0", "check": "OK", "artifact": "7939071910" }, { "job": 83946226653, "time": 154, "config": "windows-oldrel", "r": "4.5.3", "check": "OK", "artifact": "7939068844" }, { "job": 83946226655, "time": 169, "config": "windows-release", "r": "4.6.1", "check": "OK", "artifact": "7939070827" } ], "_buildurl": "https://github.com/r-universe/mohsaqr/actions/runs/28337425033", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/mohsaqr/psychnet", "_commit": { "id": "96629041558445559943d8c79d91421ab777b380", "author": "mohsaqr ", "committer": "mohsaqr ", "message": "psychnets 0.2.1: rename, glmnet engines, NCT, moderated MGM, CRAN prep\n\n- Rename package psychnet -> psychnets (avoid the case-insensitive CRAN clash\n with archived psychNET); fix tests/testthat.R test_check(\"psychnets\"). The\n psychnet() verb and the \"psychnet\" object class are unchanged.\n- native = TRUE/FALSE solver switch on all engine-bearing estimators (FALSE ->\n glasso Fortran for the GGMs, glmnet for ising/mgm), bit-matching the reference\n packages (~1e-16); base path unchanged and self-certified.\n- Moderated mixed graphical model (mgm_fit(moderators=), condition(),\n print.psychnet_moderated); expanded centrality; net_compare (NCT) updates.\n- certificate() unified accessor; node_predictability() + predictability stored\n on the node table so cograph::splot() draws the predictability ring.\n- DESCRIPTION: URL, BugReports, Additional_repositories (r-universe); SRL source\n cited by DOI; example trimmed under 5s.\n- Bump to 0.2.1. R CMD check --as-cran clean (0 warn/0 note bar the\n new-submission/feasibility note); full suite 417 pass + 23 gated equivalence.\n", "time": 1782677738 }, "_maintainer": { "name": "Mohammed Saqr", "email": "ueflaunit@gmail.com" }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.5.0", "role": "Depends" }, { "package": "parallel", "role": "Imports" }, { "package": "stats", "role": "Imports" }, { "package": "cograph", "role": "Suggests" }, { "package": "glasso", "role": "Suggests" }, { "package": "glmnet", "role": "Suggests" }, { "package": "IsingFit", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "mgm", "role": "Suggests" }, { "package": "mvtnorm", "role": "Suggests" }, { "package": "psych", "role": "Suggests" }, { "package": "qgraph", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "testthat", "version": ">= 3.0.0", "role": "Suggests" } ], "_owner": "mohsaqr", "_selfowned": true, "_usedby": 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"topics": [ "ggm_support_kkt" ] }, { "page": "glasso_kkt", "title": "Graphical-lasso stationarity (KKT) residual", "topics": [ "glasso_kkt" ] }, { "page": "glm_lasso_kkt", "title": "Stationarity (KKT) residual of an L1-penalized GLM fit", "topics": [ "glm_lasso_kkt" ] }, { "page": "huge_network", "title": "Nonparanormal graphical model (huge)", "topics": [ "huge_network" ] }, { "page": "ising_fit", "title": "Ising network for binary data", "topics": [ "ising_fit" ] }, { "page": "ising_sampler", "title": "Unregularized Ising network for binary data", "topics": [ "ising_sampler" ] }, { "page": "lmg_certificate", "title": "Relative-importance (LMG / Shapley) certificate", "topics": [ "lmg_certificate" ] }, { "page": "logo_network", "title": "Local-Global sparse inverse covariance (LoGo)", "topics": [ "logo_network" ] }, { "page": "mgm_fit", "title": "Mixed graphical model", "topics": [ "mgm_fit" ] }, { "page": "net_boot", "title": "Bootstrap a psychometric network", "topics": [ "net_boot" ] }, { "page": "net_centralities", "title": "Node centrality", "topics": [ "net_centralities" ] }, { "page": "net_compare", "title": "Network Comparison Test", "topics": [ "net_compare" ] }, { "page": "net_crosswalk", "title": "Argument crosswalk: psychnet as a substitute for qgraph / IsingFit / mgm", "topics": [ "net_crosswalk" ] }, { "page": "net_predict", "title": "Node predictability", "topics": [ "net_predict" ] }, { "page": "net_stability", "title": "Centrality-stability coefficient (case-dropping subset bootstrap)", "topics": [ "net_stability" ] }, { "page": "node_predictability", "title": "Node predictability as a plotting vector", "topics": [ "node_predictability" ] }, { "page": "pcor_network", "title": "Partial correlation network", "topics": [ "pcor_network" ] }, { "page": "print.psychnet", "title": "Print a psychnet network", "topics": [ "print.psychnet" ] }, { "page": "print.psychnet_bootstrap", "title": "Print a network bootstrap", "topics": [ "print.psychnet_bootstrap" ] 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