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penalizedcdf  

Estimate a Penalized Linear Model using the CDF Penalty Function
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]
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 26 Aug. 2026.
Previous versions and publish date:
No previous versions
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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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