Other packages > Find by keyword >

AdapDiscom  

Adaptive Sparse Regression for Block Missing Multimodal Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("AdapDiscom", "1.0.0")



Attach the package and use:
library("AdapDiscom")
Maintained by
Diakite Abdoul Oudouss
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-08-27
Latest Update: 2025-08-27
Description:
Provides adaptive direct sparse regression for high-dimensional multimodal data with heterogeneous missing patterns and measurement errors. 'AdapDISCOM' extends the 'DISCOM' framework with modality-specific adaptive weighting to handle varying data structures and error magnitudes across blocks. The method supports flexible block configurations (any K blocks) and includes robust variants for heavy-tailed distributions ('AdapDISCOM'-Huber) and fast implementations for large-scale applications (Fast-'AdapDISCOM'). Designed for realistic multimodal scenarios where different data sources exhibit distinct missing data patterns and contamination levels. Diakité et al. (2025) <doi:10.48550/arXiv.2508.00120>.
How to cite:
Diakite Abdoul Oudouss (2025). AdapDiscom: Adaptive Sparse Regression for Block Missing Multimodal Data. R package version 1.0.0, https://cran.r-project.org/web/packages/AdapDiscom. Accessed 28 Jul. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited AdapDiscom R package
View AdapDiscom citation profile
Other R packages that AdapDiscom depends, imports, suggests or enhances
Complete documentation for AdapDiscom
Functions, R codes and Examples using the AdapDiscom R package
Full AdapDiscom package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

ExplodeLayout  
Calculate Exploded Coordinates Based on Original Node Coordinates and Node Clustering Membership
Current layout algorithms such as Kamada Kawai do not take into consideration disjoint clusters in a ...
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  
textmineR  
Functions for Text Mining and Topic Modeling
An aid for text mining in R, with a syntax that should be familiar to experienced R users. Provides ...
Download / Learn more Package Citations See dependency  
daqapo  
Data Quality Assessment for Process-Oriented Data
Provides a variety of methods to identify data quality issues in process-oriented data, which are us ...
Download / Learn more Package Citations See dependency  
openintro  
Datasets and Supplemental Functions from 'OpenIntro' Textbooks and Labs
Supplemental functions and data for 'OpenIntro' resources, which includes open-source textbooks and ...
Download / Learn more Package Citations See dependency  
NPBayesImputeCat  
Non-Parametric Bayesian Multiple Imputation for Categorical Data
These routines create multiple imputations of missing at random categorical data, and create multipl ...
Download / Learn more Package Citations See dependency  

27,987

R Packages

239,283

Dependencies

74,234

Author Associations

27,988

Publication Badges

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