CRAN/E | CompareCausalNetworks

CompareCausalNetworks

Interface to Diverse Estimation Methods of Causal Networks

Installation

About

Unified interface for the estimation of causal networks, including the methods 'backShift' (from package 'backShift'), 'bivariateANM' (bivariate additive noise model), 'bivariateCAM' (bivariate causal additive model), 'CAM' (causal additive model) (from package 'CAM'; the package is temporarily unavailable on the CRAN repository; formerly available versions can be obtained from the archive), 'hiddenICP' (invariant causal prediction with hidden variables), 'ICP' (invariant causal prediction) (from package 'InvariantCausalPrediction'), 'GES' (greedy equivalence search), 'GIES' (greedy interventional equivalence search), 'LINGAM', 'PC' (PC Algorithm), 'FCI' (fast causal inference), 'RFCI' (really fast causal inference) (all from package 'pcalg') and regression.

Citation CompareCausalNetworks citation info
github.com/christinaheinze/CompareCausalNetworks
Bug report File report

Key Metrics

Version 0.2.6.2
R ≥ 3.1.0
Published 2020-02-17 1528 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks CompareCausalNetworks results

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Maintainer

Maintainer

Christina Heinze-Deml

heinzedeml@stat.math.ethz.ch

Authors

Christina Heinze-Deml
Nicolai Meinshausen

Material

Reference manual
Package source

In Views

CausalInference

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

CompareCausalNetworks archive

Depends

R ≥ 3.1.0

Imports

methods
Matrix
expm
data.table

Suggests

pcalg
InvariantCausalPrediction
glmnet
backShift
CAM
kernlab
mgcv
mboost
bnlearn
testthat
huge
flare

Reverse Imports

SELF