{ "_id": "6aea8ef19ceaa78f2009e409", "Package": "paneltests", "Type": "Package", "Title": "Panel Data Pre-Testing and Diagnostic Suite", "Version": "1.0.9", "Date": "2026-11-04", "Authors@R": "person(\"Muhammad Abdullah\", \"Alkhalaf\", email = \"muhammedalkhalaf@gmail.com\",\nrole = c(\"aut\", \"cre\", \"cph\"),\ncomment = c(ORCID = \"0009-0002-2677-9246\"))", "Description": "Pre-testing and diagnostic tools for panel data analysis.\nResearchers should run these tests before any panel regression\nto verify modelling assumptions. The package implements: (1)\nthe Hsiao (2014, ) homogeneity F-tests\n(F1/F2/F3), Swamy (1970) parameter\nheterogeneity test, and Pesaran (2004)\n cross-sectional dependence test via\nxtpretest(); (2) missing-data detection, mechanism testing, and\nimputation for unbalanced panels via xtmispanel(); (3)\nquantile-regression cross-sectional dependence tests (T_tau and\nT-tilde_tau statistics) of Demetrescu, Hosseinkouchack and\nRodrigues (2023) via xtcsdq(); and (4) the panel\nquantile-regression slope homogeneity S-hat and D-hat\nstatistics of Galvao, Juhl, Montes-Rojas and Olmo (2017)\n via xtqsh(). Together these tests\naddress three fundamental pre-testing questions: (i) are slopes\nhomogeneous? (ii) is there cross-sectional dependence? and\n(iii) is the panel balanced and is missingness ignorable?", "License": "GPL-3", "Encoding": "UTF-8", "Config/testthat/edition": "3", "NeedsCompilation": "no", "RoxygenNote": "7.3.1", "Repository": "https://muhammedalkhalaf.r-universe.dev", "Date/Publication": "2026-11-04 01:07:40 UTC", "RemoteUrl": "https://github.com/muhammedalkhalaf/paneltests", "RemoteRef": "HEAD", "RemoteSha": "0aac8a24ae9b19b001445594d92a9fa0d650a71c", "Packaged": { "Date": "2026-11-04 01:44:00 UTC", "User": "root" }, "Author": "Muhammad Abdullah Alkhalaf [aut, cre, cph] (ORCID:\n)", "Maintainer": "Muhammad Abdullah Alkhalaf ", "_user": "muhammedalkhalaf", "_type": "src", "_file": "paneltests_1.0.9.tar.gz", "_fileid": "https://r2.ropensci.org/0a41c6be8e6dba32ae28404a4a172abe4366d3ad0cbf6e8a5c4c9442179936c0", "_filesize": 347150, "_sha256": "0a41c6be8e6dba32ae28404a4a172abe4366d3ad0cbf6e8a5c4c9442179936c0", "_expires": "2027-02-12T01:48:31.000Z", "_created": 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