{ "_id": "6a102f51acfb0bcc41c94d66", "Package": "PAGFL", "Title": "Joint Estimation of Latent Groups and Group-Specific\nCoefficients in (Time-Varying) Panel Data Models", "Version": "1.2.0", "Authors@R": "c(\nperson(\"Paul\", \"Haimerl\", email = \"paul.haimerl@econ.au.dk\", role = c(\"aut\",\"cre\"), comment = c(ORCID = \"0000-0003-3198-8317\")),\nperson(\"Stephan\", \"Smeekes\", email = \"s.smeekes@maastrichtuniversity.nl\", role = \"ctb\", comment = c(ORCID = \"0000-0002-0157-639X\")),\nperson(\"Ines\", \"Wilms\", email = \"i.wilms@maastrichtuniversity.nl\", role = \"ctb\", comment = c(ORCID = \"0000-0003-3269-4601\")),\nperson(\"Ali\", \"Mehrabani\", email = \"ali.mehrabani@ku.edu\", role = \"ctb\", comment = c(ORCID = \"0000-0002-1848-5582\")))", "Maintainer": "Paul Haimerl ", "Description": "Latent group structures are a common challenge in panel\ndata analysis. Disregarding group-level heterogeneity can\nintroduce bias. Conversely, estimating individual coefficients\nfor each cross-sectional unit is inefficient and may lead to\nhigh uncertainty. This package addresses the issue of\nunobservable group structures by implementing the pairwise\nadaptive group fused Lasso (PAGFL) by Mehrabani (2023)\n. PAGFL identifies latent\ngroup structures and group-specific coefficients in a single\nstep. On top of that, we extend the PAGFL to time-varying\ncoefficient functions (FUSE-TIME), following Haimerl et al.\n(2025) .", "License": "AGPL (>= 3)", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.2", "BugReports": "https://github.com/Paul-Haimerl/PAGFL/issues", "URL": "https://github.com/Paul-Haimerl/PAGFL", "Config/testthat/edition": "3", "Config/pak/sysreqs": "make", "Repository": "https://paul-haimerl.r-universe.dev", "Date/Publication": "2026-05-12 11:58:44 UTC", "RemoteUrl": "https://github.com/paul-haimerl/pagfl", "RemoteRef": "HEAD", "RemoteSha": "b2fd55eb0e063d395ac99b7da5580e7c0c713563", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-05-12 14:13:14 UTC", "User": "root" }, "Author": "Paul Haimerl [aut, cre] (ORCID:\n),\nStephan Smeekes [ctb] (ORCID: ),\nInes Wilms [ctb] (ORCID: ),\nAli Mehrabani [ctb] (ORCID: )", "MD5sum": "a6c77e0326d005d4ba32063efbcb5723", "_user": "paul-haimerl", "_type": "src", "_file": "PAGFL_1.2.0.tar.gz", 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