{ "_id": "6a36cdf03efcd9bda44112c0", "Package": "lagseq", "Title": "Modern Lag Sequential Analysis with Tidy Transition Networks", "Version": "0.1.0", "Authors@R": "person(\"Mohammed\", \"Saqr\", email = \"saqr@saqr.me\",\nrole = c(\"aut\", \"cre\", \"cph\"))", "Description": "A modern, tidy, pipe-friendly toolkit for lag sequential\nanalysis of categorical event sequences. A single 'lsa()'\nconstructor fits classical, two-cell, bidirectional, and\ndominance engines through a pluggable registry, with multi-lag\nanalysis and structural-zero constraints, and every result is\nread through a verb that returns a tidy one-row-per-observation\ndata frame. A confirmatory testing battery quantifies the\nevidence behind each claim: sequence-level bootstrap and\nanalytic Dirichlet-Multinomial certainty for edge uncertainty,\nsplit-half reliability for the whole network, case-drop\nstability, permutation tests, and permutation- and\nBayesian-based group comparison. Fits visualize through a\nsingle 'plot()' verb (residual heatmap, transition network,\nchord, sunburst, and forest views) and interoperate with the\n'tna', 'Nestimate', and 'TraMineR' ecosystems, both ingesting\ntheir sequence objects and converting to network objects. All\nnumerical methods are implemented from primary literature and\ncross-validated against published worked examples and base-R\nprimitives.", "License": "MIT + file LICENSE", "URL": "https://github.com/mohsaqr/lagseq", "BugReports": "https://github.com/mohsaqr/lagseq/issues", "Language": "en-US", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.3", "Config/testthat/edition": "3", "LazyData": "true", "VignetteBuilder": "knitr", "Repository": "https://mohsaqr.r-universe.dev", "Date/Publication": "2026-06-20 16:22:29 UTC", "RemoteUrl": "https://github.com/mohsaqr/lagseq", "RemoteRef": "HEAD", "RemoteSha": "cf0ee1b6eef12287ebdd78d40dd98252748d51fe", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-20 17:25:46 UTC", "User": "root" }, "Author": "Mohammed Saqr [aut, cre, cph]", "Maintainer": "Mohammed Saqr ", "MD5sum": "1f08995b860b8954b23ccae77bc4792e", "_user": "mohsaqr", "_type": "src", "_file": "lagseq_0.1.0.tar.gz", "_fileid": "f551223b8d92a5ee1b481bfe9421b7c9c31f231e4ed31cadb0dbbca659ac9985", "_filesize": 9147165, "_sha256": "f551223b8d92a5ee1b481bfe9421b7c9c31f231e4ed31cadb0dbbca659ac9985", "_created": "2026-06-20T17:25:46.000Z", "_published": "2026-06-20T17:29:20.537Z", "_distro": "noble", "_jobs": [ { "job": 82501953492, "time": 170, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7767364494" }, { "job": 82501953490, "time": 159, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7767363251" }, { "job": 82501953466, "time": 103, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "7767357451" }, { "job": 82501953467, "time": 106, "config": "macos-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "7767357814" }, { "job": 82501739601, "time": 217, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7767346471" }, { "job": 82501953459, "time": 101, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7767357424" }, { "job": 82501953489, "time": 135, "config": "windows-devel", "r": "4.7.0", "check": "OK", "artifact": "7767360876" }, { "job": 82501953494, "time": 149, "config": "windows-oldrel", "r": "4.5.3", "check": "OK", "artifact": "7767362317" }, { "job": 82501953487, "time": 124, "config": "windows-release", "r": "4.6.0", "check": "OK", "artifact": "7767359733" } ], "_buildurl": "https://github.com/r-universe/mohsaqr/actions/runs/27878422410", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/mohsaqr/lagseq", "_commit": { "id": "cf0ee1b6eef12287ebdd78d40dd98252748d51fe", "author": "mohsaqr ", "committer": "mohsaqr ", "message": "Drop the igraph bridge; bridge only to the tna/cograph ecosystem\n\nigraph competes with the Dynalytics stack lagseq targets -- cograph (rendering)\nand tna (analysis) -- and everything its as.igraph() export offered (centralities,\ncommunities) is already reachable via lsa_to_tna() -> tna. Removed\nas.igraph.lsa()/as.igraph.lsa_group(), the igraph Suggests dependency, the two\nNAMESPACE S3method lines and man pages, and all igraph mentions from the README\nand the interop/lagseq/workflow vignettes.\n\nSuite 1286 pass / 0 fail; R CMD check --as-cran: 0/0/0.\n", "time": 1781972549 }, "_maintainer": { "name": "Mohammed Saqr", "email": "saqr@saqr.me", "login": "loxavian", "description": "", "uuid": 52792889 }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 4.1.0", "role": "Depends" }, { "package": "grid", "role": "Imports" }, { "package": "stats", "role": "Imports" }, { "package": "utils", "role": "Imports" }, { "package": "testthat", "version": ">= 3.0.0", "role": "Suggests" }, { "package": "cograph", "role": "Suggests" }, { "package": "Nestimate", "role": "Suggests" }, { "package": "tna", "role": "Suggests" }, { "package": "TraMineR", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "ggplot2", "role": "Suggests" } ], "_owner": "mohsaqr", "_selfowned": true, "_usedby": 0, "_updates": [ { "week": "2026-20", "n": 1 }, { "week": "2026-23", "n": 3 }, { "week": "2026-24", "n": 2 }, { "week": "2026-25", "n": 6 } ], "_tags": [], "_stars": 0, "_contributors": [ { "user": "mohsaqr", "count": 12, "uuid": 194697827 } ], "_userbio": { "uuid": 194697827, "type": "user", "name": "Mohammed Saqr", "followers": 8, "description": "Professor of Computer Science" }, "_downloads": { "count": 0, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/lagseq" }, "_devurl": "https://github.com/mohsaqr/lagseq", "_searchresults": 1, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/lagseq.html", "extra/readme.html", "extra/readme.md", "LICENSE", "manual.pdf" ], "_cranurl": false, "_exports": [ "bayes_compare_lsa", "bootstrap_lsa", "certainty_lsa", "compare_lsa", "get_lsa_engine", "initial", "lag_profile", "list_lsa_engines", "lsa", "lsa_bidirectional", "lsa_classical", "lsa_data", "lsa_ipf", "lsa_lags", "lsa_nonparallel_dominance", "lsa_parallel_dominance", "lsa_to_tna", "lsa_transitions", "lsa_two_cell", "nodes", "permute_lsa", "plot_chords", "plot_forest", "plot_polar", "plot_transitions", "register_lsa_engine", "reliability_lsa", "stability_lsa", "tests", "transitions", "unregister_lsa_engine" ], "_datasets": [ { "name": "engagement", "title": "Student Engagement Trajectories", "object": "engagement", "class": [ "matrix", "array" ], "fields": [ "1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15" ], "rows": 138, "table": true, "tojson": true }, { "name": "group_regulation", "title": "Collaborative Learning Self-Regulation Sequences", "object": "group_regulation", "class": [ "data.frame" ], "fields": [ "T1", "T2", "T3", "T4", "T5", "T6", "T7", "T8", "T9", "T10", "T11", "T12", "T13", "T14", "T15", "T16", "T17", "T18", "T19", "T20", "T21", "T22", "T23", "T24", "T25", "T26" ], "rows": 2000, "table": true, "tojson": true }, { "name": "imdb_genres", "title": "IMDB Primary-Genre Sequence (1970-2024)", "object": "imdb_genres", "class": [ "list" ], "fields": [], "table": false, "tojson": true }, { "name": "kg_logs", "title": "Knowledge-Graph Learning Logs (Du Jun 2026, 29 learners)", "object": "kg_logs", "class": [ "list" ], "fields": [], "table": false, "tojson": true }, { "name": "kg_lsa_oracle", "title": "Published LSA Results for the Knowledge-Graph Dataset", "object": "kg_lsa_oracle", "class": [ "list" ], "fields": [], "table": true, "tojson": true }, { "name": "oconnor_couple", "title": "Canonical LSA Worked Example (O'Connor 1999)", "object": "oconnor_couple", "class": [ "list" ], "fields": [], "table": false, "tojson": true }, { "name": "qi2026_grandmother", "title": "Grandmother Behaviour Transitions, Qi An et al. 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