doi:10.3390/f11020244> and the Generalized Regression Estimator Operating on Resolutions of Y (GREGORY) easier. The functions are designed to work well within a forestry context, and estimate multiple estimation units at once. Compared to other survey estimation packages, this function has greater flexibility when describing the linear model.">

gregRy: GREGORY Estimation (original) (raw)

Functions which make using the Generalized Regression Estimator(GREG) J.N.K. Rao, Isabel Molina, (2015) <doi:10.3390/f11020244> and the Generalized Regression Estimator Operating on Resolutions of Y (GREGORY) easier. The functions are designed to work well within a forestry context, and estimate multiple estimation units at once. Compared to other survey estimation packages, this function has greater flexibility when describing the linear model.

Version: 0.1.0
Imports: dplyr, purrr, tidyr, magrittr
Suggests: knitr, rmarkdown
Published: 2021-09-06
DOI: 10.32614/CRAN.package.gregRy
Author: Olek Wojcik [cre, aut], Sam Olson [aut]
Maintainer: Olek Wojcik
License: MIT + file
NeedsCompilation: no
Materials: README NEWS
CRAN checks: gregRy results

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