The Prais-Winsten estimator (Prais & Winsten, 1954) takes into account AR(1) serial correlation of the errors in a linear regression model. The procedure recursively estimates the coefficients and the error autocorrelation of the specified model until sufficient convergence of the AR(1) coefficient is attained.
| Version: | 1.1.4 | 
| Depends: | R (≥ 3.2.0), sandwich, pcse | 
| Imports: | stats | 
| Published: | 2025-06-25 | 
| DOI: | 10.32614/CRAN.package.prais | 
| Author: | Franz X. Mohr | 
| Maintainer: | Franz X. Mohr <franz.x.mohr at outlook.com> | 
| BugReports: | https://github.com/franzmohr/prais/issues | 
| License: | GPL-2 | 
| URL: | https://github.com/franzmohr/prais | 
| NeedsCompilation: | no | 
| Materials: | NEWS | 
| CRAN checks: | prais results | 
| Reference manual: | prais.html , prais.pdf | 
| Package source: | prais_1.1.4.tar.gz | 
| Windows binaries: | r-devel: prais_1.1.4.zip, r-release: prais_1.1.4.zip, r-oldrel: prais_1.1.4.zip | 
| macOS binaries: | r-release (arm64): prais_1.1.4.tgz, r-oldrel (arm64): prais_1.1.4.tgz, r-release (x86_64): prais_1.1.4.tgz, r-oldrel (x86_64): prais_1.1.4.tgz | 
| Old sources: | prais archive | 
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