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Algorithms to fit Bayesian Conditional Autoregressive LASSO with automatic and adaptive shrinkage described in Shen and Solis-Lemus (2020) <doi:10.48550/arXiv.2012.08397>.
Version: | 0.1.2 |
Depends: | R (≥ 3.5.0) |
Imports: | Rcpp, coda, Matrix, igraph, ggraph, ggplot2, MASS, methods |
LinkingTo: | Rcpp, RcppArmadillo, RcppProgress |
Suggests: | testthat, knitr, rmarkdown |
Published: | 2021-08-11 |
Author: | Yunyi Shen [aut, cre], Claudia Solis-Lemus [aut] |
Maintainer: | Yunyi Shen <yshen99 at wisc.edu> |
BugReports: | https://github.com/YunyiShen/CAR-LASSO/issues |
License: | GPL-3 |
URL: | https://github.com/YunyiShen/CAR-LASSO |
NeedsCompilation: | yes |
SystemRequirements: | C++11 |
CRAN checks: | CARlasso results |
Reference manual: | CARlasso.pdf |
Vignettes: |
Build your own hierarchical model Graphical LASSO support Get started with CAR-LASSO models |
Package source: | CARlasso_0.1.2.tar.gz |
Windows binaries: | r-devel: CARlasso_0.1.2.zip, r-release: CARlasso_0.1.2.zip, r-oldrel: CARlasso_0.1.2.zip |
macOS binaries: | r-release (arm64): CARlasso_0.1.2.tgz, r-oldrel (arm64): CARlasso_0.1.2.tgz, r-release (x86_64): CARlasso_0.1.2.tgz, r-oldrel (x86_64): CARlasso_0.1.2.tgz |
Old sources: | CARlasso archive |
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These binaries (installable software) and packages are in development.
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