Package: GECal 0.1.5

GECal: Generalized Entropy Calibration

Generalized Entropy Calibration produces calibration weights using generalized entropy as the objective function for optimization. This approach, as implemented in the 'GECal' package, is based on Kwon, Kim, and Qiu (2024) <doi:10.48550/arXiv.2404.01076>. Unlike traditional methods, 'GECal' incorporates design weights into the constraints to maintain design consistency, rather than including them in the objective function itself.

Authors:Yonghyun Kwon [aut, cre], Jae Kwang Kim [aut], Yumou Qiu [aut]

GECal_0.1.5.tar.gz
GECal_0.1.5.zip(r-4.5)GECal_0.1.5.zip(r-4.4)GECal_0.1.5.zip(r-4.3)
GECal_0.1.5.tgz(r-4.4-any)GECal_0.1.5.tgz(r-4.3-any)
GECal_0.1.5.tar.gz(r-4.5-noble)GECal_0.1.5.tar.gz(r-4.4-noble)
GECal_0.1.5.tgz(r-4.4-emscripten)GECal_0.1.5.tgz(r-4.3-emscripten)
GECal.pdf |GECal.html
GECal/json (API)

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

Peer review:

Bug tracker:https://github.com/yonghyun-k/gecal/issues

Datasets:
  • IAdata - Synthetic pesticides data in Iowa
  • IApimat - A matrix used for variance estimation in IAdata

On CRAN:

3.60 score 8 scripts 212 downloads 3 exports 1 dependencies

Last updated 2 days agofrom:51a752d8fe. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 28 2024
R-4.5-winOKOct 28 2024
R-4.5-linuxOKOct 28 2024
R-4.4-winOKOct 28 2024
R-4.4-macOKOct 28 2024
R-4.3-winOKOct 28 2024
R-4.3-macOKOct 28 2024

Exports:estimategGEcalib

Dependencies:nleqslv