The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
The code computes the structural intervention distance (SID) between a true directed acyclic graph (DAG) and an estimated DAG. Definition and details about the implementation can be found in J. Peters and P. Bühlmann: "Structural intervention distance (SID) for evaluating causal graphs", Neural Computation 27, pages 771-799, 2015 <doi:10.1162/NECO_a_00708>.
Version: | 1.1 |
Imports: | pcalg, igraph, RBGL, Matrix, methods |
Published: | 2023-12-06 |
DOI: | 10.32614/CRAN.package.SID |
Author: | Fred Gruber [cre], Jonas Peters [aut] |
Maintainer: | Fred Gruber <fgruber at gmail.com> |
License: | FreeBSD |
URL: | https://github.com/fkgruber/SID_cran |
NeedsCompilation: | no |
CRAN checks: | SID results |
Reference manual: | SID.pdf |
Package source: | SID_1.1.tar.gz |
Windows binaries: | r-devel: SID_1.1.zip, r-release: SID_1.1.zip, r-oldrel: SID_1.1.zip |
macOS binaries: | r-release (arm64): SID_1.1.tgz, r-oldrel (arm64): SID_1.1.tgz, r-release (x86_64): SID_1.1.tgz, r-oldrel (x86_64): SID_1.1.tgz |
Old sources: | SID archive |
Please use the canonical form https://CRAN.R-project.org/package=SID to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.