Package: smak 0.1.0

Steven E. Pav

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.

Authors:Steven E. Pav [aut, cre]

smak_0.1.0.tar.gz
smak_0.1.0.zip(r-4.7-any)smak_0.1.0.zip(r-4.6-any)
smak_0.1.0.tar.gz(r-4.7-any)smak_0.1.0.tar.gz(r-4.6-any)
smak_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
smak/json (API)

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

Bug tracker:https://github.com/shabbychef/smak/issues

On CRAN:

Conda:

1.70 score 2 scripts 6 exports 2 dependencies

Last updated from:e24929b356. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK100
source / vignettesOK214
linux-releaseOK103
windows-develOK61
windows-releaseOK87
wasm-releaseOK91

Exports:augmentsirssmamsmam.controlsmamfittidy

Dependencies:genericsquadprog