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penalizedclr  

Integrative Penalized Conditional Logistic Regression
View on CRAN: Click here


Download and install penalizedclr package within the R console
Install from CRAN:
install.packages("penalizedclr")

Install from Github:
library("remotes")
install_github("cran/penalizedclr")

Install by package version:
library("remotes")
install_version("penalizedclr", "2.0.0")



Attach the package and use:
library("penalizedclr")
Maintained by
Vera Djordjilovi'c
[Scholar Profile | Author Map]
First Published: 2021-04-22
Latest Update: 2023-07-20
Description:
Implements L1 and L2 penalized conditional logistic regression with penalty factors allowing for integration of multiple data sources. Implements stability selection for variable selection.
How to cite:
Vera Djordjilovi'c (2021). penalizedclr: Integrative Penalized Conditional Logistic Regression. R package version 2.0.0, https://cran.r-project.org/web/packages/penalizedclr. Accessed 13 Apr. 2025.
Previous versions and publish date:
0.1.0 (2021-04-22 09:30)
Other packages that cited penalizedclr R package
View penalizedclr citation profile
Other R packages that penalizedclr depends, imports, suggests or enhances
Complete documentation for penalizedclr
Functions, R codes and Examples using the penalizedclr R package
Some associated functions: default.lambda . default.pf . find.default.lambda . penalized.clr . stable.clr.g . stable.clr . subsample.clr . 
Some associated R codes: default.lambda.R . default.pf1.R . find.default.lambda.R . penalized.clr.R . stable.clr.R . stable.clr.g.R . subsample.clr.R .  Full penalizedclr package functions and examples
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