Package: GECal 0.1.7

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>. '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_0.1.7.tar.gz
GECal_0.1.7.zip(r-4.7)GECal_0.1.7.zip(r-4.6)GECal_0.1.7.zip(r-4.5)
GECal_0.1.7.tgz(r-4.6-any)GECal_0.1.7.tgz(r-4.5-any)
GECal_0.1.7.tar.gz(r-4.7-any)GECal_0.1.7.tar.gz(r-4.6-any)
GECal_0.1.7.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
GECal/json (API)

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

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:

Conda:

3.41 score 2 stars 13 scripts 251 downloads 3 exports 1 dependencies

Last updated from:87f26c6955. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK103
source / vignettesOK141
linux-release-x86_64OK102
macos-release-arm64OK149
macos-oldrel-arm64OK166
windows-develOK323
windows-releaseOK61
windows-oldrelOK69
wasm-releaseOK90

Exports:estimategGEcalib

Dependencies:nleqslv