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:
prioritylasso_0.3.2.tar.gz
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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')) |
Bug tracker:https://github.com/romanhornung/prioritylasso/issues
- pl_data - Simulated AML data with binary outcome
Last updated 2 years agofrom:d76312e6cb. Checks:OK: 3 ERROR: 2 NOTE: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 03 2024 |
R-4.5-win | OK | Nov 03 2024 |
R-4.5-linux | OK | Nov 03 2024 |
R-4.4-win | NOTE | Nov 03 2024 |
R-4.4-mac | ERROR | Nov 03 2024 |
R-4.3-win | NOTE | Nov 03 2024 |
R-4.3-mac | ERROR | Nov 03 2024 |
Exports:cvm_prioritylassomissing.controlprioritylasso
Dependencies:backportscheckmatecodetoolsforeachglmnetiteratorslatticeMatrixRcppRcppEigenshapesurvival
How prioritylasso handles blockwise missing data
Rendered fromexplanation_blockwise_missing.Rmd
usingknitr::rmarkdown
on Nov 03 2024.Last update: 2023-04-12
Started: 2023-04-12
prioritylasso Vignette
Rendered fromprioritylasso_vignette.Rmd
usingknitr::rmarkdown
on Nov 03 2024.Last update: 2020-10-07
Started: 2020-10-07
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Calculates the offsets for the current block | calculate_offsets |
Extract coefficients from a prioritylasso object | coef.prioritylasso |
Compare the rows of a matrix with a pattern | compare_boolean |
prioritylasso with several block specifications | cvm_prioritylasso |
Construct control structures for handling of missing data for 'prioritylasso' | missing.control |
Simulated AML data with binary outcome | pl_data |
Predictions from prioritylasso | predict.prioritylasso |
Patient outcome prediction based on multi-omics data taking practitioners' preferences into account | prioritylasso |