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The method focuses on a single environmental exposure and induces a main-effect-before-interaction hierarchical structure for the joint selection of interaction terms in a regularized regression model. For details see Zemlianskaia et al. (2021) <doi:10.48550/arXiv.2103.13510>.
| Version: | 1.0.2 |
| Depends: | dplyr, R (≥ 3.5) |
| Imports: | Rcpp (≥ 1.0.3), Matrix, bigmemory, methods |
| LinkingTo: | Rcpp, RcppEigen, RcppThread, BH, bigmemory |
| Suggests: | glmnet, testthat, knitr, rmarkdown, ggplot2 |
| Published: | 2021-11-30 |
| DOI: | 10.32614/CRAN.package.gesso |
| Author: | Natalia Zemlianskaia |
| Maintainer: | Natalia Zemlianskaia <natasha.zemlianskaia at gmail.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | yes |
| Materials: | README |
| CRAN checks: | gesso results |
| Reference manual: | gesso.pdf |
| Vignettes: |
Getting started with 'gesso' |
| Package source: | gesso_1.0.2.tar.gz |
| Windows binaries: | r-devel: gesso_1.0.2.zip, r-release: gesso_1.0.2.zip, r-oldrel: gesso_1.0.2.zip |
| macOS binaries: | r-release (arm64): gesso_1.0.2.tgz, r-oldrel (arm64): gesso_1.0.2.tgz, r-release (x86_64): gesso_1.0.2.tgz, r-oldrel (x86_64): gesso_1.0.2.tgz |
| Old sources: | gesso archive |
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