Other packages > Find by keyword >

missoNet  

Joint Sparse Regression & Network Learning with Missing Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("missoNet", "1.5.1")



Attach the package and use:
library("missoNet")
Maintained by
Yixiao Zeng
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-10-10
Latest Update: 2025-09-03
Description:
Efficient procedures for fitting conditional graphical lasso models that link a set of predictor variables to a set of response variables (or tasks), even when the response data may contain missing values. 'missoNet' simultaneously estimates the predictor coefficients for all tasks by leveraging information from one another, in order to provide more accurate predictions in comparison to modeling them individually. Additionally, 'missoNet' estimates the response network structure influenced by conditioning predictor variables using a L1-regularized conditional Gaussian graphical model. Unlike most penalized multi-task regression methods (e.g., MRCE), 'missoNet' is capable of obtaining estimates even when the response data is corrupted by missing values. The method automatically enjoys the theoretical and computational benefits of convexity, and returns solutions that are comparable to the estimates obtained without missingness.
How to cite:
Yixiao Zeng (2022). missoNet: Joint Sparse Regression & Network Learning with Missing Data. R package version 1.5.1, https://cran.r-project.org/web/packages/missoNet. Accessed 10 Mar. 2026.
Previous versions and publish date:
1.0.0 (2022-10-10 07:50), 1.1.0 (2023-05-11 10:40), 1.2.0 (2023-07-19 15:40)
Other packages that cited missoNet R package
View missoNet citation profile
Other R packages that missoNet depends, imports, suggests or enhances
Complete documentation for missoNet
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

plyr  
Tools for Splitting, Applying and Combining Data
A set of tools that solves a common set of problems: you need to break a big problem down into mana ...
Download / Learn more Package Citations See dependency  
envirem  
Generation of ENVIREM Variables
Generation of bioclimatic rasters that are complementary to the typical 19 bioclim variables. ...
Download / Learn more Package Citations See dependency  
gena  
Genetic Algorithm and Particle Swarm Optimization
Implements genetic algorithm and particle swarm algorithm for real-valued functions. Various modific ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  

26,293

R Packages

225,784

Dependencies

70,376

Author Associations

26,294

Publication Badges

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