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smak: Scalable Model Averageing Kit

Supports frequentist model averaging on linear regression problems via the scalable method of Zhu et. al. (2022) <doi:10.1080/07350015.2022.2116442>. The scalable model averaging technique projects to singular vectors, performs one linear regression per singular vector, then combines the estimates to optimize either Mallows' criterion, or the jackknife estimate of error.

Version: 0.1.0
Depends: R (≥ 4.0)
Imports: generics, methods, quadprog
Suggests: broom, testthat, knitr
Published: 2026-10-24
DOI: 10.32614/CRAN.package.smak
Author: Steven E. Pav ORCID iD [aut, cre]
Maintainer: Steven E. Pav <shabbychef at gmail.com>
BugReports: https://github.com/shabbychef/smak/issues
License: LGPL-3
URL: https://github.com/shabbychef/smak
NeedsCompilation: no
Citation: smak citation info
Materials: README, ChangeLog
CRAN checks: smak results

Documentation:

Reference manual: smak.html , smak.pdf

Downloads:

Package source: smak_0.1.0.tar.gz
Windows binaries: r-devel: smak_0.1.0.zip, r-release: smak_0.1.0.zip, r-oldrel: smak_0.1.0.zip
macOS binaries: r-release (arm64): smak_0.1.0.tgz, r-oldrel (arm64): smak_0.1.0.tgz, r-release (x86_64): smak_0.1.0.tgz, r-oldrel (x86_64): smak_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=smak to link to this page.

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.