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: 0.4.4
Depends: R (≥ 3.2.5)
Imports: methods, utils, stats, Matrix
Suggests: testthat, covr, sampling, magrittr, tibble, dplyr, data.table
Published: 2022-09-19
Author: Martin Chevalier [aut, cre, cph]
Maintainer: Martin Chevalier <mc at>
License: GPL-3
NeedsCompilation: no
Materials: README NEWS
In views: OfficialStatistics
CRAN checks: gustave results


Reference manual: gustave.pdf


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


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