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
In views:	OfficialStatistics
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-oldrel (arm64): gustave_0.4.3.tgz, r-release (x86_64): gustave_0.4.3.tgz, r-oldrel (x86_64): gustave_0.4.3.tgz
Old sources:	gustave archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=gustave to link to this page.