CARlasso: Conditional Autoregressive LASSO

Algorithms to fit Bayesian Conditional Autoregressive LASSO with automatic and adaptive shrinkage described in Shen and Solis-Lemus (2020) <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 ORCID iD [aut, cre], Claudia Solis-Lemus ORCID iD [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

Documentation:

Reference manual: CARlasso.pdf
Vignettes: Build your own hierarchical model
Graphical LASSO support
Get started with CAR-LASSO models

Downloads:

Package source: CARlasso_0.1.2.tar.gz
Windows binaries: r-devel: CARlasso_0.1.2.zip, r-devel-UCRT: 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-release (x86_64): CARlasso_0.1.2.tgz, r-oldrel: CARlasso_0.1.2.tgz
Old sources: CARlasso archive

Linking:

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