Package: backShift
Type: Package
Title: Learning Causal Cyclic Graphs from Unknown Shift Interventions
Version: 0.1.4.3
Date: 2020-05-06
Author: Christina Heinze-Deml <heinzedeml@stat.math.ethz.ch>
Depends: R (>= 3.1.0)
Imports: methods, clue, igraph, matrixcalc, reshape2, ggplot2, MASS
Maintainer: Christina Heinze-Deml <heinzedeml@stat.math.ethz.ch>
Description: Code for 'backShift', an algorithm to estimate the connectivity
    matrix of a directed (possibly cyclic) graph with hidden variables. The
    underlying system is required to be linear and we assume that observations
    under different shift interventions are available. For more details,
    see <arXiv:1506.02494>.
License: GPL
LazyData: true
Suggests: knitr, pander, fields, testthat, pcalg, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/christinaheinze/backShift
BugReports: https://github.com/christinaheinze/backShift/issues
RoxygenNote: 7.0.2
NeedsCompilation: yes
Packaged: 2020-05-06 10:46:52 UTC; heinzec
Repository: CRAN
Date/Publication: 2020-05-06 11:30:03 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-05 11:21:33 UTC; unix
Archs: backShift.so.dSYM
