CRAN/E | nonlinearICP

nonlinearICP

Invariant Causal Prediction for Nonlinear Models

Installation

About

Performs 'nonlinear Invariant Causal Prediction' to estimate the causal parents of a given target variable from data collected in different experimental or environmental conditions, extending 'Invariant Causal Prediction' from Peters, Buehlmann and Meinshausen (2016), , to nonlinear settings. For more details, see C. Heinze-Deml, J. Peters and N. Meinshausen: 'Invariant Causal Prediction for Nonlinear Models', .

Citation nonlinearICP citation info
github.com/christinaheinze/nonlinearICP-and-CondIndTests
Bug report File report

Key Metrics

Version 0.1.2.1
R ≥ 3.1.0
Published 2017-07-31 2470 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks nonlinearICP results

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Maintainer

Maintainer

Christina Heinze-Deml

heinzedeml@stat.math.ethz.ch

Authors

Christina Heinze-Deml
Jonas Peters

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

nonlinearICP archive

Depends

R ≥ 3.1.0

Imports

methods
CondIndTests
data.tree
caTools
randomForest

Suggests

testthat