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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.
Version: | 0.1.5 |
Depends: | R (≥ 2.10.0) |
Imports: | nleqslv |
Suggests: | sampling |
Published: | 2024-09-25 |
DOI: | 10.32614/CRAN.package.GECal |
Author: | Yonghyun Kwon [aut, cre], Jae Kwang Kim [aut], Yumou Qiu [aut] |
Maintainer: | Yonghyun Kwon <yhkwon at kma.ac.kr> |
BugReports: | https://github.com/yonghyun-K/GECal/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/yonghyun-K/GECal |
NeedsCompilation: | no |
Materials: | README |
In views: | OfficialStatistics |
CRAN checks: | GECal results |
Reference manual: | GECal.pdf |
Package source: | GECal_0.1.5.tar.gz |
Windows binaries: | r-devel: GECal_0.1.5.zip, r-release: GECal_0.1.5.zip, r-oldrel: GECal_0.1.5.zip |
macOS binaries: | r-release (arm64): GECal_0.1.5.tgz, r-oldrel (arm64): GECal_0.1.5.tgz, r-release (x86_64): GECal_0.1.5.tgz, r-oldrel (x86_64): GECal_0.1.5.tgz |
Old sources: | GECal archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.