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priorityelasticnet

Comprehensive Analysis of Multi-Omics Data Using an Offset-Based Method

v1.2.1 · Feb 19, 2026 · GPL-3

Description

Priority-ElasticNet extends the Priority-LASSO method (Klau et al. (2018) <doi:10.1186/s12859-018-2344-6>) by incorporating the ElasticNet penalty, allowing for both L1 and L2 regularization. This approach fits successive ElasticNet models for several blocks of (omics) data with different priorities, using the predicted values from each block as an offset for the subsequent block. It also offers robust options to handle block-wise missingness in multi-omics data, improving the flexibility and applicability of the model in the presence of incomplete datasets.

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package dependencies

Package required but not available: ‘glmSparseNet’

See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
manual.

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ERROR 11 OK · 0 NOTE · 0 WARNING · 3 ERROR · 0 FAILURE Mar 10, 2026
ERROR r-release-macos-x86_64

package dependencies

Package required but not available: ‘glmSparseNet’

See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
manual.
ERROR r-oldrel-macos-arm64

package dependencies

Package required but not available: ‘glmSparseNet’

See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
manual.
ERROR r-oldrel-macos-x86_64

package dependencies

Package required but not available: ‘glmSparseNet’

See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
manual.

Dependency Network

Dependencies Reverse dependencies survival glmnet checkmate shiny tidyr dplyr caret pROC PRROC plotrix ggplot2 magrittr tibble broom cvms +1 more dependencies priorityelasticnet

Version History

4 tracked
new 1.2.1 Mar 10, 2026
updated 1.2.1 ← 0.2.0 diff Feb 18, 2026
updated 0.2.0 ← 0.1.0 diff Jan 18, 2025
new 0.1.0 Jan 12, 2025