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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.

copied from cf-staging / r-prais
Type Size Name Uploaded Downloads Labels
conda 80.8 kB | noarch/r-prais-1.1.3-r44hc72bb7e_0.conda  9 days and 4 hours ago 57 main
conda 79.9 kB | noarch/r-prais-1.1.3-r43hc72bb7e_0.conda  9 days and 4 hours ago 69 main
conda 68.7 kB | noarch/r-prais-1.1.2-r44hc72bb7e_1.conda  4 months and 16 days ago 388 main
conda 68.0 kB | noarch/r-prais-1.1.2-r43hc72bb7e_1.conda  4 months and 16 days ago 392 main
conda 68.0 kB | noarch/r-prais-1.1.2-r43hc72bb7e_0.conda  11 months and 15 days ago 626 main
conda 68.3 kB | noarch/r-prais-1.1.2-r42hc72bb7e_0.conda  11 months and 15 days ago 639 main

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