CRAN/E | backShift

backShift

Learning Causal Cyclic Graphs from Unknown Shift Interventions

Installation

About

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 .

github.com/christinaheinze/backShift
Bug report File report

Key Metrics

Version 0.1.4.3
R ≥ 3.1.0
Published 2020-05-06 1450 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks backShift results

Downloads

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Last 30 days 306 -4%
Last 90 days 893 -22%
Last 365 days 3.931 -12%

Maintainer

Maintainer

Christina Heinze-Deml

heinzedeml@stat.math.ethz.ch

Authors

Christina Heinze-Deml

Material

Reference manual
Package source

Vignettes

backShift demo

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

backShift archive

Depends

R ≥ 3.1.0

Imports

methods
clue
igraph
matrixcalc
reshape2
ggplot2
MASS

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