Package: lmridge 1.2.2

lmridge: Linear Ridge Regression with Ridge Penalty and Ridge Statistics

Linear ridge regression coefficient's estimation and testing with different ridge related measures such as MSE, R-squared etc. REFERENCES i. Hoerl and Kennard (1970) <doi:10.1080/00401706.1970.10488634>, ii. Halawa and El-Bassiouni (2000) <doi:10.1080/00949650008812006>, iii. Imdadullah, Aslam, and Saima (2017), iv. Marquardt (1970) <doi:10.2307/1267205>.

Authors:Imdad Ullah Muhammad [aut, cre], Aslam Muhammad [aut, ctb]

lmridge_1.2.2.tar.gz
lmridge_1.2.2.zip(r-4.5)lmridge_1.2.2.zip(r-4.4)lmridge_1.2.2.zip(r-4.3)
lmridge_1.2.2.tgz(r-4.5-any)lmridge_1.2.2.tgz(r-4.4-any)lmridge_1.2.2.tgz(r-4.3-any)
lmridge_1.2.2.tar.gz(r-4.5-noble)lmridge_1.2.2.tar.gz(r-4.4-noble)
lmridge_1.2.2.tgz(r-4.4-emscripten)lmridge_1.2.2.tgz(r-4.3-emscripten)
lmridge.pdf |lmridge.html
lmridge/json (API)
NEWS

# Install 'lmridge' in R:
install.packages('lmridge', repos = c('https://itfeature.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • Hald - Portland Cement benchmark of Hald

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.46 score 2 stars 72 scripts 566 downloads 2 mentions 34 exports 0 dependencies

Last updated 2 years agofrom:471fc930ae. Checks:3 OK, 5 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 18 2025
R-4.5-winNOTEFeb 18 2025
R-4.5-macNOTEFeb 18 2025
R-4.5-linuxNOTEFeb 18 2025
R-4.4-winNOTEFeb 18 2025
R-4.4-macNOTEFeb 18 2025
R-4.3-winOKFeb 18 2025
R-4.3-macOKFeb 18 2025

Exports:bias.plotcoef.lmridgecv.plotfitted.lmridgehatrhatr.lmridgeinfo.plotinfocrinfocr.lmridgeisrm.plotkestkest.lmridgelmridgelmridge.defaultlmridgeEstplot.lmridgepredict.lmridgepresspress.lmridgeprint.klmridgeprint.lmridgeprint.rstats1print.rstats2print.summary.lmridgeresiduals.lmridgerplots.plotrstats1rstats1.lmridgerstats2rstats2.lmridgesummary.lmridgevcov.lmridgevifvif.lmridge

Dependencies: