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:
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 years agofrom:8ef2dec2cd. Checks:2 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Feb 03 2025 |
| R-4.5-linux | OK | Feb 03 2025 |
Dependencies:codetoolsforeachFormulaglmnetinumiteratorslatticelibcoinMatrixmboostmvtnormnnlspartykitquadprogRcppRcppEigenrpartshapestabssurvival
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Invariant causal prediction | InvariantCausalPrediction-package InvariantCausalPrediction |
| Invariant Causal Prediction with hidden variables | hiddenICP |
| Invariant Causal Prediction | ICP |
| Plots of "InvariantCausalPrediction" objects | plot.InvariantCausalPrediction |
| Summary of "InvariantCausalPrediction" objects | summary.InvariantCausalPrediction |