Skip to content
master
Switch branches/tags
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
R
 
 
 
 
 
 
man
 
 
src
 
 
 
 
 
 
 
 
 
 
 
 
 
 

backShift

R 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.

Installation

From CRAN

install.packages("backShift")

Dependencies

If getOptions("repos") does not contain Bioconductor ("BioCsoft"), the packages graph and RBGL need to be downloaded from Bioconductor with

source("http://bioconductor.org/biocLite.R") 
biocLite(c("graph","RBGL"))

From Github with devtools

devtools::install_github("christinaheinze/backShift")

Code

See the package vignettes for more details.

References

D. Rothenhaeusler, C. Heinze, J. Peters and N. Meinshausen. "backShift: Learning causal cyclic graphs from unknown shift interventions". Advances in Neural Information Processing Systems (NIPS) 28, 2015. arXiv.

About

Code for 'backShift', an algorithm to estimate the connectivity matrix of a directed (possibly cyclic) graph with hidden variables.

Resources

Releases

No releases published

Packages

No packages published