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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, <ISBN:978-1-107-65763-2>) homogeneity F-tests (F1/F2/F3), Swamy (1970) <doi:10.2307/1913012> parameter heterogeneity test, and Pesaran (2004) <doi:10.2139/ssrn.572504> 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) <doi:10.1016/j.jeconom.2022.09.001> via xtcsdq(); and (4) the panel quantile-regression slope homogeneity S-hat and D-hat statistics of Galvao, Juhl, Montes-Rojas and Olmo (2017) <doi:10.1080/07350015.2015.1054493> 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?
| Version: | 1.0.5 |
| Depends: | R (≥ 3.5.0) |
| Imports: | stats, utils |
| Suggests: | testthat (≥ 3.0.0), plm, zoo, quantreg |
| Published: | 2026-05-04 |
| DOI: | 10.32614/CRAN.package.paneltests (may not be active yet) |
| Author: | Muhammad Abdullah Alkhalaf
|
| Maintainer: | Muhammad Abdullah Alkhalaf <muhammedalkhalaf at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Citation: | paneltests citation info |
| Materials: | NEWS |
| CRAN checks: | paneltests results |
| Reference manual: | paneltests.html , paneltests.pdf |
| Package source: | paneltests_1.0.5.tar.gz |
| Windows binaries: | r-devel: paneltests_1.0.5.zip, r-release: not available, r-oldrel: paneltests_1.0.5.zip |
| macOS binaries: | r-release (arm64): paneltests_1.0.5.tgz, r-oldrel (arm64): paneltests_1.0.5.tgz, r-release (x86_64): paneltests_1.0.5.tgz, r-oldrel (x86_64): paneltests_1.0.5.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.