Other packages > Find by keyword >

sparsereg  

Sparse Bayesian Models for Regression, Subgroup Analysis, and Panel Data
View on CRAN: Click here


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

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

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



Attach the package and use:
library("sparsereg")
Maintained by
Marc Ratkovic
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-07-21
Latest Update: 2016-03-10
Description:
Sparse modeling provides a mean selecting a small number of non-zero effects from a large possible number of candidate effects.This package includes a suite of methods for sparse modeling: estimation via EM or MCMC, approximate confidence intervals with nominal coverage, and diagnostic and summary plots.The method can implement sparse linear regression and sparse probit regression.Beyond regression analyses, applications include subgroup analysis, particularly for conjoint experiments, and panel data. Future versions will include extensions tomodels with truncated outcomes, propensity score, and instrumental variable analysis.
How to cite:
Marc Ratkovic (2015). sparsereg: Sparse Bayesian Models for Regression, Subgroup Analysis, and Panel Data. R package version 1.2, https://cran.r-project.org/web/packages/sparsereg. Accessed 05 Mar. 2026.
Previous versions and publish date:
1.0 (2015-07-21 07:53), 1.1 (2015-10-01 13:19)
Other packages that cited sparsereg R package
View sparsereg citation profile
Other R packages that sparsereg depends, imports, suggests or enhances
Complete documentation for sparsereg
Functions, R codes and Examples using the sparsereg R package
Some associated functions: difference . plot.sparsereg . print.sparsereg . sparsereg-internal . sparsereg-package . sparsereg . summary.sparsereg . violinplot . 
Some associated R codes: RcppExports.R . cleandata.R . subgroup.R . updateREs.R . utility.R .  Full sparsereg package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

pinp  
'pinp' is not 'PNAS'
A 'PNAS'-alike style for 'rmarkdown', derived from the 'Proceedings of the National Academy of Scie ...
Download / Learn more Package Citations See dependency  
ClimClass  
Climate Classification According to Several Indices
Classification of climate according to Koeppen - Geiger, of aridity indices, of continentality indi ...
Download / Learn more Package Citations See dependency  
imagefx  
Extract Features from Images
Synthesize images into characteristic features for time-series analysis or machine learning applicat ...
Download / Learn more Package Citations See dependency  
roccv  
ROC for Cross Validation Results
Cross validate large genetic data while specifying clinical variables that should always be in the m ...
Download / Learn more Package Citations See dependency  
diffIRT  
Diffusion IRT Models for Response and Response Time Data
Package to fit diffusion-based IRT models to response and response time data. Models are fit using ...
Download / Learn more Package Citations See dependency  
neat  
Efficient Network Enrichment Analysis Test
Includes functions and examples to compute NEAT, the Network Enrichment Analysis Test described in ...
Download / Learn more Package Citations See dependency  

26,264

R Packages

223,360

Dependencies

70,244

Author Associations

26,265

Publication Badges

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