Other packages > Find by keyword >

BMIselect  

Bayesian MI-LASSO for Variable Selection on Multiply-Imputed Datasets
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("BMIselect", "1.0.3")



Attach the package and use:
library("BMIselect")
Maintained by
Jungang Zou
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-07-09
Latest Update: 2025-07-09
Description:
Provides a suite of Bayesian MI-LASSO for variable selection methods for multiply-imputed datasets. The package includes four Bayesian MI-LASSO models using shrinkage (Multi-Laplace, Horseshoe, ARD) and Spike-and-Slab (Spike-and-Laplace) priors, along with tools for model fitting via MCMC, three-step projection predictive variable selection, and hyperparameter calibration. Methods are suitable for both continuous and binary covariates under missing-at-random assumptions. See Zou, J., Wang, S. and Chen, Q. (2022), Variable Selection for Multiply-imputed Data: A Bayesian Framework. ArXiv, 2211.00114. <doi:10.48550/arXiv.2211.00114> for more details. We also provide the frequentist's MI-LASSO function.
How to cite:
Jungang Zou (2025). BMIselect: Bayesian MI-LASSO for Variable Selection on Multiply-Imputed Datasets. R package version 1.0.3, https://cran.r-project.org/web/packages/BMIselect. Accessed 20 Sep. 2026.
Previous versions and publish date:
1.0.1 (2025-07-09 15:30), 1.0.2 (2025-08-20 22:20), 1.0.3 (2025-08-25 15:20), 1.0.4 (2026-07-09 12:20), (2026-08-22 00:02)
Other packages that cited BMIselect R package
View BMIselect citation profile
Other R packages that BMIselect depends, imports, suggests or enhances
Complete documentation for BMIselect
Functions, R codes and Examples using the BMIselect R package
Full BMIselect package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
WASP  
Wavelet System Prediction
The wavelet-based variance transformation method is used for system modelling and prediction. It ref ...
Download / Learn more Package Citations See dependency  
RWmisc  
Miscellaneous Spatial Functions
Contains convenience functions for working with spatial data across multiple UTM zones, raster-vect ...
Download / Learn more Package Citations See dependency  
MatchThem  
Matching and Weighting Multiply Imputed Datasets
Provides essential tools for the pre-processing techniques of matching and weighting multiply impute ...
Download / Learn more Package Citations See dependency  
relimp  
Relative Contribution of Effects in a Regression Model
Functions to facilitate inference on the relative importance of predictors in a linear or generalize ...
Download / Learn more Package Citations See dependency  
migration.indices  
Migration Indices
Calculate various indices, like Crude Migration Rate, different Gini indices or the Coefficient of ...
Download / Learn more Package Citations See dependency  

28,565

R Packages

239,283

Dependencies

75,677

Author Associations

28,566

Publication Badges

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