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: | 0.7-1 |
| Depends: | glmnet, mboost, linprog, parallel, RColorBrewer |
| Published: | 2017-10-03 |
| Author: | Nicolai Meinshausen [aut, cre], Dominik Rothenhaeusler [aut] |
| Maintainer: | Nicolai Meinshausen <meinshausen at stat.math.ethz.ch> |
| License: | GPL-2 | GPL-3 [expanded from: GPL] |
| NeedsCompilation: | no |
| CRAN checks: | InvariantCausalPrediction results |
| Reference manual: | InvariantCausalPrediction.pdf |
| Package source: | InvariantCausalPrediction_0.7-1.tar.gz |
| Windows binaries: | r-devel: InvariantCausalPrediction_0.7-1.zip, r-release: InvariantCausalPrediction_0.7-1.zip, r-oldrel: InvariantCausalPrediction_0.7-1.zip |
| OS X binaries: | r-release: InvariantCausalPrediction_0.7-1.tgz, r-oldrel: InvariantCausalPrediction_0.7-1.tgz |
| Old sources: | InvariantCausalPrediction archive |
| Reverse suggests: | CompareCausalNetworks |
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