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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-post-staging / r-prais
Type Size Name Uploaded Downloads Labels
conda 83.1 kB | noarch/r-prais-1.1.4-r45hc72bb7e_1.conda  7 months and 10 days ago 426 main
conda 83.7 kB | noarch/r-prais-1.1.4-r44hc72bb7e_1.conda  7 months and 10 days ago 396 main
conda 83.6 kB | noarch/r-prais-1.1.4-r44hc72bb7e_0.conda  10 months and 3 days ago 514 main
conda 82.6 kB | noarch/r-prais-1.1.4-r43hc72bb7e_0.conda  10 months and 3 days ago 553 main
conda 80.8 kB | noarch/r-prais-1.1.3-r44hc72bb7e_0.conda  1 year and 5 months ago 1085 main
conda 79.9 kB | noarch/r-prais-1.1.3-r43hc72bb7e_0.conda  1 year and 5 months ago 1069 main
conda 68.7 kB | noarch/r-prais-1.1.2-r44hc72bb7e_1.conda  1 year and 9 months ago 1331 main
conda 68.0 kB | noarch/r-prais-1.1.2-r43hc72bb7e_1.conda  1 year and 9 months ago 1344 main
conda 68.0 kB | noarch/r-prais-1.1.2-r43hc72bb7e_0.conda  2 years and 4 months ago 1502 main
conda 68.3 kB | noarch/r-prais-1.1.2-r42hc72bb7e_0.conda  2 years and 4 months ago 1539 main

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