ragt2ridges: Ridge Estimation of Vector Auto-Regressive (VAR) Processes

The ragt2ridges-package provides ridge maximum likelihood estimation of vector auto-regressive processes: the VAR(1), VAR(2) and VARX(1) model (more to be added). Prior knowledge may be incorporated in the estimation through a) specification of the edges believed to be absent in the time series chain graph, and b) a shrinkage target towards which the parameter estimate is shrunken for large penalty parameter values. Estimation functionality is accompanied by methodology for penalty parameter selection. In addition, the package offers supporting functionality for the exploitation of estimated models. Among others, i) a procedure to infer the support of the non-sparse ridge estimate (and thereby of the time series chain graph) is implemented, ii) a table of node-wise network summary statistics, iii) mutual information analysis, and iv) impulse response analysis. Cf. Miok et al. (2017) <doi:10.1002/bimj.201500269> and Miok et al. (2019) <doi:10.1002/bimj.201700195> for details on the implemented methods.

Version: 0.3.4
Depends: R (≥ 2.15.1), igraph, rags2ridges
Imports: abind, expm, fdrtool, graphics, grDevices, MASS, Matrix, methods, mvtnorm, stats, Biobase, CGHbase
LinkingTo: Rcpp, RcppArmadillo
Published: 2020-01-28
Author: Wessel N. van Wieringen
Maintainer: Wessel N. van Wieringen <w.vanwieringen at vumc.nl>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/wvanwie/ragt2ridges
NeedsCompilation: yes
Citation: ragt2ridges citation info
Materials: NEWS
CRAN checks: ragt2ridges results


Reference manual: ragt2ridges.pdf


Package source: ragt2ridges_0.3.4.tar.gz
Windows binaries: r-devel: ragt2ridges_0.3.4.zip, r-release: ragt2ridges_0.3.4.zip, r-oldrel: ragt2ridges_0.3.4.zip
macOS binaries: r-release (arm64): ragt2ridges_0.3.4.tgz, r-oldrel (arm64): ragt2ridges_0.3.4.tgz, r-release (x86_64): ragt2ridges_0.3.4.tgz, r-oldrel (x86_64): ragt2ridges_0.3.4.tgz
Old sources: ragt2ridges archive

Reverse dependencies:

Reverse suggests: porridge


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