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

prioritylasso_0.3.2.tar.gz
prioritylasso_0.3.2.zip(r-4.7-any)prioritylasso_0.3.2.zip(r-4.6-any)prioritylasso_0.3.2.zip(r-4.5-any)
prioritylasso_0.3.2.tgz(r-4.6-any)prioritylasso_0.3.2.tgz(r-4.5-any)
prioritylasso_0.3.2.tar.gz(r-4.7-any)prioritylasso_0.3.2.tar.gz(r-4.6-any)
prioritylasso_0.3.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
prioritylasso/json (API)

# 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

Datasets:
  • pl_data - Simulated AML data with binary outcome

On CRAN:

Conda:

4.59 score 1 stars 39 scripts 335 downloads 1 mentions 3 exports 12 dependencies

Last updated from:d76312e6cb. Checks:7 ERROR, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develERROR203
source / vignettesOK191
linux-releaseERROR154
macos-releaseERROR127
macos-oldrelERROR139
windows-develERROR177
windows-releaseERROR163
windows-oldrelERROR189
wasm-releaseOK92

Exports:cvm_prioritylassomissing.controlprioritylasso

Dependencies:backportscheckmatecodetoolsforeachglmnetiteratorslatticeMatrixRcppRcppEigenshapesurvival

How prioritylasso handles blockwise missing data
priority-Lasso-ignore | priority-Lasso-impute | Complete cases | Available cases | Prediction of new data | References
Rendered fromexplanation_blockwise_missing.Rmdusingknitr::rmarkdown

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

prioritylasso Vignette
Introduction | Getting started with prioritylasso | prioritylasso - extended application | Specifying the priorities | Set a maximal number of nonzero coefficients. | Include the block with the highest priority without a penalty | Options for the cross validation procedure | Some notes on the output | Use of the function cvm_prioritylasso | Validation
Rendered fromprioritylasso_vignette.Rmdusingknitr::rmarkdown

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