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:Alexander Rix [aut, cre], Jonathan Boss [aut]

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'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.70 score 9 scripts 149 downloads 2 exports 13 dependencies

Last updated 5 years agofrom:8ccb4232ea. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 12 2024
R-4.5-linux-x86_64NOTENov 12 2024

Exports:cv.higlassohiglasso

Dependencies:cligcdnetgglassogluelatticelifecyclemagrittrMatrixpurrrRcppRcppArmadillorlangvctrs

Hierarchical Integrative Group LASSO

Rendered fromhiglasso.Rmdusingknitr::rmarkdownon Nov 12 2024.

Last update: 2020-05-25
Started: 2020-05-25