Other packages > Find by keyword >

miselect  

Variable Selection for Multiply Imputed Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("miselect", "0.9.2")



Attach the package and use:
library("miselect")
Maintained by
Michael Kleinsasser
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-03-31
Latest Update: 2024-03-05
Description:
Penalized regression methods, such as lasso and elastic net, are used in many biomedical applications when simultaneous regression coefficient estimation and variable selection is desired. However, missing data complicates the implementation of these methods, particularly when missingness is handled using multiple imputation. Applying a variable selection algorithm on each imputed dataset will likely lead to different sets of selected predictors, making it difficult to ascertain a final active set without resorting to ad hoc combination rules. 'miselect' presents Stacked Adaptive Elastic Net (saenet) and Grouped Adaptive LASSO (galasso) for continuous and binary outcomes, developed by Du et al (2022) . They, by construction, force selection of the same variables across multiply imputed data. 'miselect' also provides cross validated variants of these methods.
How to cite:
Michael Kleinsasser (2020). miselect: Variable Selection for Multiply Imputed Data. R package version 0.9.2, https://cran.r-project.org/web/packages/miselect. Accessed 03 Jul. 2026.
Previous versions and publish date:
0.9.0 (2020-03-31 12:00)
Other packages that cited miselect R package
View miselect citation profile
Other R packages that miselect depends, imports, suggests or enhances
Complete documentation for miselect
Functions, R codes and Examples using the miselect R package
Some associated functions: coef.cv.galasso . coef.cv.saenet . coef.galasso . coef.saenet . cv.galasso . cv.saenet . galasso . miselect.df . print.cv.galasso . print.cv.saenet . saenet . 
Some associated R codes: coef.R . cv.galasso.R . cv.saenet.R . data.R . galasso.R . saenet.R . util.R .  Full miselect package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

GaussSuppression  
Tabular Data Suppression using Gaussian Elimination
A statistical disclosure control tool to protect tables by suppression using the Gaussian eliminati ...
Download / Learn more Package Citations See dependency  
tabbycat  
Tabulate and Summarise Categorical Data
Functions for tabulating and summarising categorical variables. Most functions are designed to work ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
reportROC  
An Easy Way to Report ROC Analysis
Provides an easy way to report the results of ROC analysis, including: 1. an ROC curve. 2. the val ...
Download / Learn more Package Citations See dependency  
gap.datasets  
Datasets for 'gap'
Datasets associated with the 'gap' package. Currently, it includes an example data for regional ass ...
Download / Learn more Package Citations See dependency  
MANOVA.RM  
Resampling-Based Analysis of Multivariate Data and Repeated Measures Designs
Implemented are various tests for semi-parametric repeated measures and general MANOVA designs that ...
Download / Learn more Package Citations See dependency  

27,653

R Packages

236,180

Dependencies

73,487

Author Associations

27,536

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA