Package: VARshrink Title: Shrinkage Estimation Methods for Vector Autoregressive Models Version: 0.5.0 Authors@R: c( person("Namgil", "Lee", role = c("aut", "cre", "cph"), email = "namgil.lee@kangwon.ac.kr", comment = c(ORCID = "0000-0003-0593-9028")), person("Heon Young", "Yang", role = c("ctb"), email = "hyyang@kangwon.ac.kr"), person("Sung-Ho", "Kim", role = c("aut", "cph"), email = "sung-ho.kim@kaist.edu") ) Description: Vector autoregressive (VAR) model is a fundamental and effective approach for multivariate time series analysis. Shrinkage estimation methods can be applied to high-dimensional VAR models with dimensionality greater than the number of observations, contrary to the standard ordinary least squares method. This package is an integrative package delivering nonparametric, parametric, and semiparametric methods in a unified and consistent manner, such as the multivariate ridge regression in Golub, Heath, and Wahba (1979) , a James-Stein type nonparametric shrinkage method in Opgen-Rhein and Strimmer (2007) , and Bayesian estimation methods using noninformative and informative priors in Lee, Choi, and S.-H. Kim (2016) and Ni and Sun (2005) . License: GPL (>= 3) Depends: R (>= 3.6.0), vars (>= 1.6.1) Imports: ars (>= 0.6), corpcor (>= 1.6.9), strucchange, stats, MASS, mvtnorm, MCMCpack Suggests: knitr, rmarkdown, kableExtra, devtools, lintr, testthat (>= 3.0.0) URL: https://github.com/namgillee/VARshrink/ BugReports: https://github.com/namgillee/VARshrink/issues/ Encoding: UTF-8 VignetteBuilder: knitr Config/roxygen2/version: 8.0.0 Config/testthat/edition: 3 Repository: https://namgillee.r-universe.dev Date/Publication: 2026-06-17 22:06:16 UTC RemoteUrl: https://github.com/namgillee/varshrink RemoteRef: HEAD RemoteSha: 8c9beb7ff89ca549d460a5bd180a1502a348738e NeedsCompilation: no Packaged: 2026-06-17 22:50:46 UTC; root Author: Namgil Lee [aut, cre, cph] (ORCID: ), Heon Young Yang [ctb], Sung-Ho Kim [aut, cph] Maintainer: Namgil Lee