Package: InvariantCausalPrediction 0.8

Nicolai Meinshausen

InvariantCausalPrediction: Invariant Causal Prediction

Confidence intervals for causal effects, using data collected in different experimental or environmental conditions. Hidden variables can be included in the model with a more experimental version.

Authors:Nicolai Meinshausen

InvariantCausalPrediction_0.8.tar.gz
InvariantCausalPrediction_0.8.tar.gz(r-4.5-noble)InvariantCausalPrediction_0.8.tar.gz(r-4.4-noble)
InvariantCausalPrediction_0.8.tgz(r-4.4-emscripten)InvariantCausalPrediction_0.8.tgz(r-4.3-emscripten)
InvariantCausalPrediction.pdf |InvariantCausalPrediction.html✨
InvariantCausalPrediction/json (API)

# Install 'InvariantCausalPrediction' in R:
install.packages('InvariantCausalPrediction', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.35 score 3 stars 1 packages 25 scripts 324 downloads 1 mentions 2 exports 20 dependencies

Last updated 5 years agofrom:8ef2dec2cd. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 05 2024
R-4.5-linuxOKNov 05 2024

Exports:hiddenICPICP

Dependencies:codetoolsforeachFormulaglmnetinumiteratorslatticelibcoinMatrixmboostmvtnormnnlspartykitquadprogRcppRcppEigenrpartshapestabssurvival

Readme and manuals

Help Manual

Help pageTopics
Invariant causal predictionInvariantCausalPrediction-package InvariantCausalPrediction
Invariant Causal Prediction with hidden variableshiddenICP
Invariant Causal PredictionICP
Plots of "InvariantCausalPrediction" objectsplot.InvariantCausalPrediction
Summary of "InvariantCausalPrediction" objectssummary.InvariantCausalPrediction