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sodavis  

SODA: Main and Interaction Effects Selection for Logistic Regression, Quadratic Discriminant and General Index Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("sodavis", "1.2")



Attach the package and use:
library("sodavis")
Maintained by
Yang Li
[Scholar Profile | Author Map]
First Published: 2015-11-16
Latest Update: 2018-05-13
Description:
Variable and interaction selection are essential to classification in high-dimensional setting. In this package, we provide the implementation of SODA procedure, which is a forward-backward algorithm that selects both main and interaction effects under logistic regression and quadratic discriminant analysis. We also provide an extension, S-SODA, for dealing with the variable selection problem for semi-parametric models with continuous responses.
How to cite:
Yang Li (2015). sodavis: SODA: Main and Interaction Effects Selection for Logistic Regression, Quadratic Discriminant and General Index Models. R package version 1.2, https://cran.r-project.org/web/packages/sodavis. Accessed 29 Mar. 2025.
Previous versions and publish date:
0.1 (2015-11-16 08:20), 1.0 (2017-05-29 23:29), 1.1 (2018-05-01 05:43)
Other packages that cited sodavis R package
View sodavis citation profile
Other R packages that sodavis depends, imports, suggests or enhances
Complete documentation for sodavis
Functions, R codes and Examples using the sodavis R package
Some associated functions: pumadyn . s_soda . s_soda_model . s_soda_pred . s_soda_pred_grid . soda . soda_trace_CV . umich_lung . 
Some associated R codes: pure_soda.R .  Full sodavis package functions and examples
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