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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.
| Version: | 0.8 |
| Depends: | glmnet, mboost |
| Published: | 2019-11-10 |
| DOI: | 10.32614/CRAN.package.InvariantCausalPrediction |
| Author: | Nicolai Meinshausen |
| Maintainer: | Nicolai Meinshausen <meinshausen at stat.math.ethz.ch> |
| License: | GPL-2 | GPL-3 [expanded from: GPL] |
| NeedsCompilation: | no |
| In views: | CausalInference |
| CRAN checks: | InvariantCausalPrediction results |
| Reference manual: | InvariantCausalPrediction.pdf |
| Package source: | InvariantCausalPrediction_0.8.tar.gz |
| Windows binaries: | r-devel: InvariantCausalPrediction_0.8.zip, r-release: InvariantCausalPrediction_0.8.zip, r-oldrel: InvariantCausalPrediction_0.8.zip |
| macOS binaries: | r-release (arm64): InvariantCausalPrediction_0.8.tgz, r-oldrel (arm64): InvariantCausalPrediction_0.8.tgz, r-release (x86_64): InvariantCausalPrediction_0.8.tgz, r-oldrel (x86_64): InvariantCausalPrediction_0.8.tgz |
| Old sources: | InvariantCausalPrediction archive |
| Reverse imports: | miRLAB |
| Reverse suggests: | CompareCausalNetworks |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.