ragt2ridges (0.3.4)

0 users

Ridge Estimation of Vector Auto-Regressive (VAR) Processes.

https://github.com/wvanwie/ragt2ridges
http://cran.r-project.org/web/packages/ragt2ridges

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) and Miok et al. (2019) for details on the implemented methods.

Maintainer: Wessel N. van Wieringen
Author(s): Wessel N. van Wieringen <w.vanwieringen@vumc.nl>

License: GPL (>= 2)

Uses: abind, expm, fdrtool, igraph, MASS, Matrix, mvtnorm, rags2ridges

Released 2 months ago.


10 previous versions

Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

No one has written a review of ragt2ridges yet. Want to be the first? Write one now.


Related packages:(20 best matches, based on common tags.)


Search for ragt2ridges on google, google scholar, r-help, r-devel.

Visit ragt2ridges on R Graphical Manual.