Other packages > Find by keyword >

missoNet  

Missingness in Multi-Task Regression with Network Estimation
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", "1.2.0")



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: 2023-07-19
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: Missingness in Multi-Task Regression with Network Estimation. R package version 1.2.0, https://cran.r-project.org/web/packages/missoNet
Previous versions and publish date:
1.0.0 (2022-10-10 07:50), 1.1.0 (2023-05-11 10:40)
Other packages that cited missoNet R package
View missoNet citation profile
Other R packages that missoNet depends, imports, suggests or enhances
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

steepness  
Testing Steepness of Dominance Hierarchies
The steepness package computes steepness as a property of dominance hierarchies. Steepness is define ...
Download / Learn more Package Citations See dependency  
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  
ftaproxim  
Fault Tree Analysis Based on Proxel Simulation
Calculation and plotting of instantaneous unavailabilities of basic events along with the top event ...
Download / Learn more Package Citations See dependency  
mistral  
Methods in Structural Reliability
Various reliability analysis methods for rare event inference (computing failure probability and qua ...
Download / Learn more Package Citations See dependency  
rdbnomics  
Download DBnomics Data
R access to hundreds of millions data series from DBnomics API (). ...
Download / Learn more Package Citations See dependency  
critpath  
Setting the Critical Path in Project Management
Solving the problem of project management using CPM (Critical Path Method), PERT (Program Evaluation ...
Download / Learn more Package Citations See dependency  

22,114

R Packages

188,080

Dependencies

55,244

Author Associations

22,115

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net. Contact Us / Suggestions / Concerns