{ "_id": "6a2130e0cd65a98ecbd2529a", "Package": "paneltests", "Type": "Package", "Title": "Panel Data Pre-Testing and Diagnostic Suite", "Version": "1.0.5", "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\nxtcsdq(); and (4) the panel quantile-regression slope\nhomogeneity S-hat and D-hat statistics of Galvao, Juhl,\nMontes-Rojas and Olmo (2017)\n via xtqsh(). Together these\ntests address three fundamental pre-testing questions: (i) are\nslopes homogeneous? (ii) is there cross-sectional dependence?\nand (iii) is the panel balanced and is missingness ignorable?", "License": "GPL-3", "Encoding": "UTF-8", "RoxygenNote": "7.3.3", "Config/testthat/edition": "3", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-04 07:58:37 UTC", "User": "root" }, "Author": "Muhammad Abdullah Alkhalaf [aut, cre, cph] (ORCID:\n)", "Maintainer": "Muhammad Abdullah Alkhalaf ", "Repository": "https://muhammedalkhalaf.r-universe.dev", "Date/Publication": "2026-05-04 13:00:38 UTC", "RemoteUrl": "https://github.com/cran/paneltests", "RemoteRef": "HEAD", "RemoteSha": "cbea266e7ec1dbb6fb8294c646280e18bcf20b72", "MD5sum": "8751ba3ad90b78fecaa3a3d1d01a7869", "_user": "muhammedalkhalaf", "_type": "src", "_file": "paneltests_1.0.5.tar.gz", "_fileid": "473a8bcc8edb3310ccdadf2a2ededea1d0a9b391a23c00944278a8eb33198c57", "_filesize": 241222, "_sha256": "473a8bcc8edb3310ccdadf2a2ededea1d0a9b391a23c00944278a8eb33198c57", "_created": "2026-06-04T07:58:37.000Z", 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