Package: WALS 0.2.5
WALS: Weighted-Average Least Squares Model Averaging
Implements Weighted-Average Least Squares model averaging for negative binomial regression models of Huynh (2024) <doi:10.48550/arXiv.2404.11324>, generalized linear models of De Luca, Magnus, Peracchi (2018) <doi:10.1016/j.jeconom.2017.12.007> and linear regression models of Magnus, Powell, Pruefer (2010) <doi:10.1016/j.jeconom.2009.07.004>, see also Magnus, De Luca (2016) <doi:10.1111/joes.12094>. Weighted-Average Least Squares for the linear regression model is based on the original 'MATLAB' code by Magnus and De Luca <https://www.janmagnus.nl/items/WALS.pdf>, see also Kumar, Magnus (2013) <doi:10.1007/s13571-013-0060-9> and De Luca, Magnus (2011) <doi:10.1177/1536867X1201100402>.
Authors:
WALS_0.2.5.tar.gz
WALS_0.2.5.zip(r-4.5)WALS_0.2.5.zip(r-4.4)WALS_0.2.5.zip(r-4.3)
WALS_0.2.5.tgz(r-4.5-any)WALS_0.2.5.tgz(r-4.4-any)WALS_0.2.5.tgz(r-4.3-any)
WALS_0.2.5.tar.gz(r-4.5-noble)WALS_0.2.5.tar.gz(r-4.4-noble)
WALS_0.2.5.tgz(r-4.4-emscripten)WALS_0.2.5.tgz(r-4.3-emscripten)
WALS.pdf |WALS.html✨
WALS/json (API)
NEWS
# Install 'WALS' in R: |
install.packages('WALS', repos = c('https://kevhuy.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/kevhuy/wals/issues
Last updated 9 months agofrom:be928e44f5. Checks:8 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Feb 28 2025 |
R-4.5-win | OK | Feb 28 2025 |
R-4.5-mac | OK | Feb 28 2025 |
R-4.5-linux | OK | Feb 28 2025 |
R-4.4-win | OK | Feb 28 2025 |
R-4.4-mac | OK | Feb 28 2025 |
R-4.3-win | OK | Feb 28 2025 |
R-4.3-mac | OK | Feb 28 2025 |
Exports:binomialWALScontrolGLMcontrolNBfamilyPriorfamilyWALSlaplacenegbinFixedWALSnegbinWALSpoissonWALSsubbotinwalswalsFitwalsGLMwalsGLMfitwalsGLMfitIteratewalsNBwalsNBfitwalsNBfitIterateweibull