# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "paneltests" in publications use:' type: software license: GPL-3.0-only title: 'paneltests: Panel Data Pre-Testing and Diagnostic Suite' version: 1.0.8 identifiers: - type: doi value: 10.32614/CRAN.package.paneltests abstract: 'Pre-testing and diagnostic tools for panel data analysis. Researchers should run these tests before any panel regression to verify modelling assumptions. The package implements: (1) the Hsiao (2014, ) homogeneity F-tests (F1/F2/F3), Swamy (1970) parameter heterogeneity test, and Pesaran (2004) cross-sectional dependence test via xtpretest(); (2) missing-data detection, mechanism testing, and imputation for unbalanced panels via xtmispanel(); (3) quantile-regression cross-sectional dependence tests (T_tau and T-tilde_tau statistics) of Demetrescu, Hosseinkouchack and Rodrigues (2023) via xtcsdq(); and (4) the panel quantile-regression slope homogeneity S-hat and D-hat statistics of Galvao, Juhl, Montes-Rojas and Olmo (2017) via xtqsh(). Together these tests address three fundamental pre-testing questions: (i) are slopes homogeneous? (ii) is there cross-sectional dependence? and (iii) is the panel balanced and is missingness ignorable?' authors: - family-names: Alkhalaf given-names: Muhammad Abdullah email: muhammedalkhalaf@gmail.com orcid: https://orcid.org/0009-0002-2677-9246 preferred-citation: type: manual title: Panel Data Pre-Testing and Diagnostic Suite authors: - family-names: Alkhalaf given-names: Muhammad Abdullah email: muhammedalkhalaf@gmail.com orcid: https://orcid.org/0009-0002-2677-9246 year: '2026' notes: R package version 1.0.8 url: https://CRAN.R-project.org/package=paneltests repository: https://cran.r-universe.dev commit: 60df45d44c7ba3bc2626ce4b03071bc8d9ff90c4 date-released: '2026-10-30' contact: - family-names: Alkhalaf given-names: Muhammad Abdullah email: muhammedalkhalaf@gmail.com orcid: https://orcid.org/0009-0002-2677-9246