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lmridge
View on CRAN: Click
here
Download and install lmridge package within the R console
Install from CRAN:
install.packages("lmridge")
Install from Github:
library("remotes")
install_github("cran/lmridge") Install by package version:
library("remotes")
install_version("lmridge", "1.2.2") Attach the package and use:
library("lmridge")
Maintained by
Imdad Ullah Muhammad
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-11-22
Latest Update: 2023-01-15
Description:
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) ,
ii. Halawa and El-Bassiouni (2000) ,
iii. Imdadullah, Aslam, and Saima (2017),
iv. Marquardt (1970) .
How to cite:
Imdad Ullah Muhammad (2016). lmridge: Linear Ridge Regression with Ridge Penalty and Ridge Statistics. R package version 1.2.2, https://cran.r-project.org/web/packages/lmridge. Accessed 26 Aug. 2026.
Previous versions and publish date:
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Complete documentation for lmridge
Functions, R codes and Examples using
the lmridge R package
Some associated functions: Hald . bias.plot . cv.plot . hatr . info.plot . infocr . isrm.plot . kest . lmridge-package . lmridge . plot.lmridge . predict.lmridge . press.lmridge . residuals.lmridge . rplots.plot . rstats1 . rstats2 . summary.lmridge . vcov . vif .
Some associated R codes: bias.plot.R . coef.lmridge.R . cv.plot.R . hatr.R . info.plot.R . infocr.R . isrm.plot.R . kest.R . lmridge.R . lmridgeEst.R . plot.lmridge.R . predict.R . press.R . print.klmridge.R . print.lmridge.R . print.summary.lmridge.R . resid.R . rfitted.R . rplots.R . rstats1.R . rstats2.R . summary.lmridge.R . vcov.R . vif.R . Full lmridge package functions and examples
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