Package: backShift
Type: Package
Title: Learning Causal Cyclic Graphs from Unknown Shift Interventions
Version: 0.1.4.1
Date: 2017-01-09
Author: Christina Heinze-Deml <heinzedeml@stat.math.ethz.ch>
Depends: R (>= 3.1.0)
Imports: methods, jointDiag, clue, igraph, matrixcalc, reshape2,
        ggplot2, mvnmle, 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 <http://arxiv.org/abs/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: 5.0.1
NeedsCompilation: no
Packaged: 2017-01-09 09:48:02 UTC; heinzec
Repository: CRAN
Date/Publication: 2017-01-09 15:16:51
