Package: backShift
Type: Package
Title: Learning Causal Cyclic Graphs from Unknown Shift Interventions
Version: 0.1.1
Date: 2015-06-09
Author: Christina Heinze <heinze@stat.math.ethz.ch>
Depends: R (>= 3.1.0)
Imports: jointDiag, clue, pcalg, igraph, matrixcalc, reshape2
Maintainer: Christina Heinze <heinze@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
NeedsCompilation: no
Packaged: 2015-06-09 15:30:04 UTC; heinzec
Repository: CRAN
Date/Publication: 2015-06-09 21:27:21
