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.zip(r-4.7-any)InvariantCausalPrediction_0.8.zip(r-4.6-any)
InvariantCausalPrediction_0.8.tar.gz(r-4.7-any)InvariantCausalPrediction_0.8.tar.gz(r-4.6-any)
InvariantCausalPrediction_0.8.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
InvariantCausalPrediction/json (API)

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

On CRAN:

Conda:

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

2.58 score 4 stars 1 packages 32 scripts 462 downloads 1 mentions 2 exports 23 dependencies

Last updated from:8ef2dec2cd. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK120
source / vignettesOK168
linux-releaseOK145
windows-develOK83
windows-releaseOK81
wasm-releaseOK85

Exports:hiddenICPICP

Dependencies:codetoolsforeachFormulaglmnetinumiteratorslatticelibcoinMatrixmboostmvtnormnnlspartykitquadprogRcppRcppEigenrpartsandwichshapestabsstrucchangesurvivalzoo

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