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penalizedcdf
View on CRAN: Click
here
Download and install penalizedcdf package within the R console
Install from CRAN:
install.packages("penalizedcdf")
Install from Github:
library("remotes")
install_github("cran/penalizedcdf") Install by package version:
library("remotes")
install_version("penalizedcdf", "0.1.0") Attach the package and use:
library("penalizedcdf")
Maintained by
Daniele Cuntrera
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-01-30
Latest Update: 2023-01-30
Description:
Utilize the CDF penalty function to estimate a penalized linear model.
It enables you to display some graphical representations and determine whether the Karush-Kuhn-Tucker conditions are met.
For more details about the theory, please refer to Cuntrera, D., Augugliaro, L., & Muggeo, V. M. (2022) .
How to cite:
Daniele Cuntrera (2023). penalizedcdf: Estimate a Penalized Linear Model using the CDF Penalty Function. R package version 0.1.0, https://cran.r-project.org/web/packages/penalizedcdf. Accessed 25 Jun. 2026.
Previous versions and publish date:
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Complete documentation for penalizedcdf
Functions, R codes and Examples using
the penalizedcdf R package
Some associated functions: BIC.cdfpen . BIC_calc . Check_KKT . S . cdfPen.fit . cdfPen . lla . plot.cdfpen . plot_path .
Some associated R codes: BIC.calc.R . cdfPen.R . cdfPen.fit.R . check_KKT.R . lla.R . Full penalizedcdf package functions and examples
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