gustave: A User-Oriented Statistical Toolkit for Analytical Variance Estimation

Provides a toolkit for analytical variance estimation in survey sampling. Apart from the implementation of standard variance estimators, its main feature is to help the sampling expert produce easy-to-use variance estimation "wrappers", where systematic operations (linearization, domain estimation) are handled in a consistent and transparent way.

Version: 1.0.0
Depends: R (≥ 3.2.5)
Imports: methods, utils, stats, Matrix
Suggests: testthat, sampling, magrittr, tibble, dplyr, data.table
Published: 2023-11-17
Author: Martin Chevalier [aut] (Creator), Khaled Larbi [cre], Institut national de la statistique et des ├ętudes ├ęconomiques [cph]
Maintainer: Khaled Larbi <khaled.larbi at insee.fr>
BugReports: https://github.com/InseeFr/gustave/issues
License: GPL-3
URL: https://github.com/InseeFr/gustave
NeedsCompilation: no
Materials: README NEWS
In views: OfficialStatistics
CRAN checks: gustave results

Documentation:

Reference manual: gustave.pdf

Downloads:

Package source: gustave_1.0.0.tar.gz
Windows binaries: r-devel: gustave_1.0.0.zip, r-release: gustave_1.0.0.zip, r-oldrel: gustave_1.0.0.zip
macOS binaries: r-release (arm64): gustave_1.0.0.tgz, r-oldrel (arm64): gustave_1.0.0.tgz, r-release (x86_64): gustave_1.0.0.tgz, r-oldrel (x86_64): gustave_0.4.4.tgz
Old sources: gustave archive

Linking:

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