Package: saeBest 0.1.0

saeBest: Selecting Auxiliary Variables in Small Area Estimation (SAE) Model

Select best combination of auxiliary variables with certain criterion.

Authors:Azka Ubaidillah [aut], Sheerin Dahwan Aziz [aut, cre]

saeBest_0.1.0.tar.gz
saeBest_0.1.0.zip(r-4.5)saeBest_0.1.0.zip(r-4.4)saeBest_0.1.0.zip(r-4.3)
saeBest_0.1.0.tgz(r-4.5-any)saeBest_0.1.0.tgz(r-4.4-any)saeBest_0.1.0.tgz(r-4.3-any)
saeBest_0.1.0.tar.gz(r-4.5-noble)saeBest_0.1.0.tar.gz(r-4.4-noble)
saeBest_0.1.0.tgz(r-4.4-emscripten)saeBest_0.1.0.tgz(r-4.3-emscripten)
saeBest.pdf |saeBest.html
saeBest/json (API)

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

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 3 scripts 165 downloads 1 exports 14 dependencies

Last updated 3 years agofrom:a5c8c854b3. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 22 2025
R-4.5-winOKFeb 22 2025
R-4.5-macOKFeb 22 2025
R-4.5-linuxOKFeb 22 2025
R-4.4-winOKFeb 22 2025
R-4.4-macOKFeb 22 2025
R-4.3-winOKFeb 22 2025
R-4.3-macOKFeb 22 2025

Exports:eblupBest

Dependencies:bootlatticelme4MASSMatrixminqanlmenloptrrbibutilsRcppRcppEigenRdpackreformulassae