Package: sae.projection 0.1.0

Ridson Al Farizal

sae.projection: Small Area Estimation Using Projection Methods

The sae.projection package provides a robust tool for small area estimation using a projection-based approach. This method is particularly beneficial in scenarios involving two surveys, the first survey collects data solely on auxiliary variables, while the second, typically smaller survey, collects both the variables of interest and the auxiliary variables. The package constructs a working model to predict the variables of interest for each sample in the first survey. These predictions are then used to estimate relevant indicators for the desired domains. This condition overcomes the problem of estimation in a small area when only using the second survey data.

Authors:c, person )

sae.projection_0.1.0.tar.gz
sae.projection_0.1.0.zip(r-4.5)sae.projection_0.1.0.zip(r-4.4)sae.projection_0.1.0.zip(r-4.3)
sae.projection_0.1.0.tgz(r-4.4-any)sae.projection_0.1.0.tgz(r-4.3-any)
sae.projection_0.1.0.tar.gz(r-4.5-noble)sae.projection_0.1.0.tar.gz(r-4.4-noble)
sae.projection_0.1.0.tgz(r-4.4-emscripten)sae.projection_0.1.0.tgz(r-4.3-emscripten)
sae.projection.pdf |sae.projection.html
sae.projection/json (API)

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

Peer review:

Bug tracker:https://github.com/alfrzlp/sae.projection/issues

Datasets:
  • df_svy22 - Df_svy22: The August 2022 National Labor Force Survey dataset in East Java, Indonesia.
  • df_svy23 - Df_svy23: The August 2023 National Labor Force Survey dataset in East Java, Indonesia.

On CRAN:

3.18 score 4 scripts 1 mentions 1 exports 102 dependencies

Last updated 17 days agofrom:7f376b393d. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 20 2024
R-4.5-winOKDec 20 2024
R-4.5-linuxOKDec 20 2024
R-4.4-winOKDec 20 2024
R-4.4-macOKDec 20 2024
R-4.3-winOKDec 20 2024
R-4.3-macOKDec 20 2024

Exports:projection

Dependencies:backportsbroomcachemclasscliclockcodetoolscolorspaceconflictedcpp11data.tableDBIdiagramdialsDiceDesigndigestdoFuturedoParalleldplyrfansifarverfastmapforeachfurrrfuturefuture.applygenericsggplot2globalsgluegowerGPfitgtablehardhatinferipredisobanditeratorsKernSmoothlabelinglatticelavalhslifecyclelistenvlubridatemagrittrMASSMatrixmemoisemgcvminqamitoolsmodeldatamodelenvmunsellnlmennetnumDerivparallellyparsnippatchworkpillarpkgconfigprettyunitsprodlimprogressrpurrrR6RColorBrewerRcppRcppArmadillorecipesrlangrpartrsamplerstudioapiscalessfdshapesliderSQUAREMstringistringrsurveysurvivaltibbletidymodelstidyrtidyselecttimechangetimeDatetunetzdbutf8vctrsviridisLitewarpwithrworkflowsworkflowsetsyardstick