Package: prais 1.1.4

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:Franz X. Mohr [aut, cre]

prais_1.1.4.tar.gz
prais_1.1.4.zip(r-4.7)prais_1.1.4.zip(r-4.6)prais_1.1.4.zip(r-4.5)
prais_1.1.4.tgz(r-4.6-any)prais_1.1.4.tgz(r-4.5-any)
prais_1.1.4.tar.gz(r-4.7-any)prais_1.1.4.tar.gz(r-4.6-any)
prais_1.1.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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

Datasets:

On CRAN:

Conda:

prais-winstenprais-winsten-estimator

4.81 score 7 stars 72 scripts 1.3k downloads 2 mentions 1 exports 4 dependencies

Last updated from:5363946c65. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK101
source / vignettesOK198
linux-release-x86_64OK101
macos-release-arm64OK96
macos-oldrel-arm64OK90
windows-develOK68
windows-releaseOK64
windows-oldrelOK73
wasm-releaseOK95

Exports:prais_winsten

Dependencies:latticepcsesandwichzoo