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cmenet  

Bi-Level Selection of Conditional Main Effects
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("cmenet", "0.1.2")



Attach the package and use:
library("cmenet")
Maintained by
Simon Mak
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-01-20
Latest Update: 2022-05-27
Description:
Provides functions for implementing cmenet - a bi-level variable selection method for conditional main effects (see Mak and Wu (2018) ). CMEs are reparametrized interaction effects which capture the conditional impact of a factor at a fixed level of another factor. Compared to traditional two-factor interactions, CMEs can quantify more interpretable interaction effects in many problems. The current implementation performs variable selection on only binary CMEs; we are working on an extension for the continuous setting.
How to cite:
Simon Mak (2019). cmenet: Bi-Level Selection of Conditional Main Effects. R package version 0.1.2, https://cran.r-project.org/web/packages/cmenet. Accessed 06 Nov. 2024.
Previous versions and publish date:
0.1.0 (2019-01-20 17:10), 0.1.1 (2019-08-29 01:30)
Other packages that cited cmenet R package
View cmenet citation profile
Other R packages that cmenet depends, imports, suggests or enhances
Complete documentation for cmenet
Functions, R codes and Examples using the cmenet R package
Some associated functions: cmenet . cv.cmenet . full.model.mtx . maize . predictcme . 
Some associated R codes: RcppExports.R . header.R .  Full cmenet package functions and examples
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