Package: prais 1.1.2.9000
Franz X. Mohr
prais: Prais-Winsten Estimator for AR(1) Serial Correlation
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.
Authors:
prais_1.1.2.9000.tar.gz
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prais_1.1.2.9000.tgz(r-4.4-any)prais_1.1.2.9000.tgz(r-4.3-any)
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prais.pdf |prais.html✨
prais/json (API)
NEWS
# Install 'prais' in R: |
install.packages('prais', repos = c('https://franzmohr.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/franzmohr/prais/issues
prais-winstenprais-winsten-estimator
Last updated 2 years agofrom:65d7abbeed. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Sep 17 2024 |
R-4.5-win | NOTE | Sep 17 2024 |
R-4.5-linux | NOTE | Sep 17 2024 |
R-4.4-win | NOTE | Sep 17 2024 |
R-4.4-mac | NOTE | Sep 17 2024 |
R-4.3-win | NOTE | Sep 17 2024 |
R-4.3-mac | NOTE | Sep 17 2024 |
Exports:.pw_transformprais_winsten
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Prais-Winsten Estimator for AR(1) Serial Correlation | prais_winsten print.prais |
Summarising the Prais-Winsten Estimator | print.summary.prais summary.prais |
Semirobust Covariance Matrix Estimators | vcovHC.prais |
Extract Panel-Corrected Variance Covariance Matrix | vcovPC.prais |