Package: prioritylasso 0.3.2

prioritylasso: Analyzing Multiple Omics Data with an Offset Approach

Priority-LASSO (Klau et al., 2018) fits successive Lasso models for several blocks of (omics) data with different priorities and takes the predicted values as an offset for the next block. Also offers options to deal with block-wise missingness in multi-omics data. Reference: Klau, S., Jurinovic, V., Hornung, R., Herold, T., Boulesteix, A.-L. (2018) Priority-Lasso: a simple hierarchical approach to the prediction of clinical outcome using multi-omics data. BMC Bioinformatics 19:322, <doi:10.1186/s12859-018-2344-6>.

Authors:Simon Klau, Roman Hornung, Alina Bauer, Jonas Hagenberg

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prioritylasso.pdf |prioritylasso.html
prioritylasso/json (API)
NEWS

# Install 'prioritylasso' in R:
install.packages('prioritylasso', repos = c('https://romanhornung.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/romanhornung/prioritylasso/issues

Datasets:
  • pl_data - Simulated AML data with binary outcome

On CRAN:

4.41 score 26 scripts 285 downloads 1 mentions 3 exports 12 dependencies

Last updated 2 years agofrom:d76312e6cb. Checks:3 OK, 2 ERROR, 2 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 02 2025
R-4.5-winOKJan 02 2025
R-4.5-linuxOKJan 02 2025
R-4.4-winNOTEJan 02 2025
R-4.4-macERRORJan 02 2025
R-4.3-winNOTEJan 02 2025
R-4.3-macERRORJan 02 2025

Exports:cvm_prioritylassomissing.controlprioritylasso

Dependencies:backportscheckmatecodetoolsforeachglmnetiteratorslatticeMatrixRcppRcppEigenshapesurvival

How prioritylasso handles blockwise missing data

Rendered fromexplanation_blockwise_missing.Rmdusingknitr::rmarkdownon Jan 02 2025.

Last update: 2023-04-12
Started: 2023-04-12

prioritylasso Vignette

Rendered fromprioritylasso_vignette.Rmdusingknitr::rmarkdownon Jan 02 2025.

Last update: 2020-10-07
Started: 2020-10-07