Package: higlasso 0.9.0
Alexander Rix
higlasso: Hierarchical Integrative Group LASSO
Environmental health studies are increasingly measuring multiple pollutants to characterize the joint health effects attributable to exposure mixtures. However, the underlying dose-response relationship between toxicants and health outcomes of interest may be highly nonlinear, with possible nonlinear interaction effects. Hierarchical integrative group least absolute shrinkage and selection operator (HiGLASSO), developed by Boss et al (2020) <arxiv:2003.12844>, is a general framework to identify noteworthy nonlinear main and interaction effects in the presence of group structures among a set of exposures.
Authors:
higlasso_0.9.0.tar.gz
higlasso_0.9.0.tar.gz(r-4.5-noble)higlasso_0.9.0.tar.gz(r-4.4-noble)
higlasso_0.9.0.tgz(r-4.4-emscripten)higlasso_0.9.0.tgz(r-4.3-emscripten)
higlasso.pdf |higlasso.html✨
higlasso/json (API)
NEWS
# Install 'higlasso' in R: |
install.packages('higlasso', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- higlasso.df - Synthetic Example Data For Higlasso
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 years agofrom:8ccb4232ea. Checks:OK: 1 NOTE: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 12 2024 |
R-4.5-linux-x86_64 | NOTE | Dec 12 2024 |
Exports:cv.higlassohiglasso
Dependencies:cligcdnetgglassogluelatticelifecyclemagrittrMatrixpurrrRcppRcppArmadillorlangvctrs
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Cross Validated Hierarchical Integrative Group LASSO | cv.higlasso |
Hierarchical Integrative Group LASSO | higlasso |
Synthetic Example Data For Higlasso | higlasso.df |
Print CV HiGLASSO Objects | print.cv.higlasso |