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squeezy  

Group-Adaptive Elastic Net Penalised Generalised Linear Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("squeezy", "1.1-1")



Attach the package and use:
library("squeezy")
Maintained by
Mirrelijn M. van Nee
[Scholar Profile | Author Map]
First Published: 2021-07-07
Latest Update: 2022-05-13
Description:
Fit linear and logistic regression models penalised with group-adaptive elastic net penalties. The group penalties correspond to groups of covariates defined by a co-data group set. The method accommodates inclusion of unpenalised covariates and overlapping groups. See Van Nee et al. (2021) <doi:10.48550/arXiv.2101.03875>.
How to cite:
Mirrelijn M. van Nee (2021). squeezy: Group-Adaptive Elastic Net Penalised Generalised Linear Models. R package version 1.1-1, https://cran.r-project.org/web/packages/squeezy. Accessed 29 Mar. 2025.
Previous versions and publish date:
1.0 (2021-07-07 10:20), 1.1 (2022-03-22 15:50)
Other packages that cited squeezy R package
View squeezy citation profile
Other R packages that squeezy depends, imports, suggests or enhances
Complete documentation for squeezy
Functions, R codes and Examples using the squeezy R package
Some associated functions: dminML.LA.ridgeGLM . mAIC.LA.ridgeGLM . minML.LA.ridgeGLM . normalityCheckQQ . squeezy-package . squeezy . 
Some associated R codes: squeezy.R .  Full squeezy package functions and examples
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