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>.
| Version: | 1.0.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | softImpute, Matrix, scout, robustbase |
| Suggests: | knitr, rmarkdown, MASS |
| Published: | 2025-08-27 |
| DOI: | 10.32614/CRAN.package.AdapDiscom |
| Author: | Diakite Abdoul Oudouss [aut, cre, cph], Barry Amadou [aut] |
| Maintainer: | Diakite Abdoul Oudouss <abdouloudoussdiakite at gmail.com> |
| BugReports: | https://github.com/AODiakite/AdapDiscom/issues |
| License: | GPL-3 |
| URL: | https://doi.org/10.48550/arXiv.2508.00120 |
| NeedsCompilation: | no |
| CRAN checks: | AdapDiscom results |
| Reference manual: | AdapDiscom.html , AdapDiscom.pdf |
| Vignettes: |
AdapDiscom: A multimodal high dimensional method accounting for missing data and measurement error heterogeneity (source, R code) |
| Package source: | AdapDiscom_1.0.0.tar.gz |
| Windows binaries: | r-devel: AdapDiscom_1.0.0.zip, r-release: AdapDiscom_1.0.0.zip, r-oldrel: AdapDiscom_1.0.0.zip |
| macOS binaries: | r-release (arm64): AdapDiscom_1.0.0.tgz, r-oldrel (arm64): AdapDiscom_1.0.0.tgz, r-release (x86_64): AdapDiscom_1.0.0.tgz, r-oldrel (x86_64): AdapDiscom_1.0.0.tgz |
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