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: 0.4.3
Depends: R (≥ 3.2.5)
Imports: methods, utils, stats, Matrix
Suggests: testthat, covr, sampling, magrittr, tibble, dplyr, data.table
Published: 2021-11-10
Author: Martin Chevalier [aut, cre, cph]
Maintainer: Martin Chevalier <mc at slmc.fr>
BugReports: https://github.com/martinchevalier/gustave/issues
License: GPL-3
URL: https://github.com/martinchevalier/gustave
NeedsCompilation: no
Materials: README NEWS
CRAN checks: gustave results

Documentation:

Reference manual: gustave.pdf

Downloads:

Package source: gustave_0.4.3.tar.gz
Windows binaries: r-devel: gustave_0.4.3.zip, r-release: gustave_0.4.3.zip, r-oldrel: gustave_0.4.3.zip
macOS binaries: r-release (arm64): gustave_0.4.3.tgz, r-release (x86_64): gustave_0.4.3.tgz, r-oldrel: gustave_0.4.3.tgz
Old sources: gustave archive

Linking:

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