Package: gustave 1.0.0

Khaled Larbi

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.

Authors:Martin Chevalier [aut], Khaled Larbi [cre], Institut national de la statistique et des études économiques [cph]

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NEWS

# Install 'gustave' in R:
install.packages('gustave', repos = c('https://inseefr.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/inseefr/gustave/issues

Datasets:
  • ict_pop - Sampling frame of the Information and communication technologies (ICT) survey
  • ict_sample - Sample of the Information and communication technologies (ICT) survey
  • ict_survey - Survey data of the Information and communication technologies (ICT) survey
  • lfs_samp_area - Sample of areas in the Labour force survey
  • lfs_samp_dwel - Sample of dwellings in the Labour force survey
  • lfs_samp_ind - Sample of individuals in the Labour force survey

On CRAN:

official-statisticssamplingsurvey-samplingvariance-estimation

4.10 score 7 stars 18 scripts 386 downloads 10 exports 2 dependencies

Last updated 10 months agofrom:b9b156e846. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 10 2024
R-4.5-winOKNov 10 2024
R-4.5-linuxOKNov 10 2024
R-4.4-winOKNov 10 2024
R-4.4-macOKNov 10 2024
R-4.3-winOKNov 10 2024
R-4.3-macOKNov 10 2024

Exports:add_zerodefine_statistic_wrapperdefine_variance_wrapperqvarres_calsum_byvar_poisvar_srsvarDTvarSYG

Dependencies:latticeMatrix