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:

4.36 score 23 scripts 318 downloads 1 mentions 3 exports 12 dependencies

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

TargetResultDate
Doc / VignettesOKNov 03 2024
R-4.5-winOKNov 03 2024
R-4.5-linuxOKNov 03 2024
R-4.4-winNOTENov 03 2024
R-4.4-macERRORNov 03 2024
R-4.3-winNOTENov 03 2024
R-4.3-macERRORNov 03 2024

Exports:cvm_prioritylassomissing.controlprioritylasso

Dependencies:backportscheckmatecodetoolsforeachglmnetiteratorslatticeMatrixRcppRcppEigenshapesurvival

How prioritylasso handles blockwise missing data

Rendered fromexplanation_blockwise_missing.Rmdusingknitr::rmarkdownon Nov 03 2024.

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

prioritylasso Vignette

Rendered fromprioritylasso_vignette.Rmdusingknitr::rmarkdownon Nov 03 2024.

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