Unified interface for the estimation of causal networks, including the methods 'backShift' (from package 'backShift'), 'bivariateANM' (bivariate additive noise model), 'bivariateCAM' (bivariate causal additive model), 'CAM' (causal additive model) (from package 'CAM'), 'hiddenICP' (invariant causal prediction with hidden variables), 'ICP' (invariant causal prediction) (from package 'InvariantCausalPrediction'), 'GES' (greedy equivalence search), 'GIES' (greedy interventional equivalence search), 'LINGAM', 'PC' (PC Algorithm), 'FCI' (fast causal inference), 'RFCI' (really fast causal inference) (all from package 'pcalg') and regression.
| Version: | 0.1.9 |
| Depends: | R (≥ 3.1.0) |
| Imports: | methods, Matrix, expm, data.table |
| Suggests: | pcalg, InvariantCausalPrediction, glmnet, backShift, CAM, kernlab, mgcv, bnlearn, testthat, huge, flare |
| Published: | 2017-07-31 |
| Author: | Christina Heinze-Deml, Nicolai Meinshausen |
| Maintainer: | Christina Heinze-Deml <heinzedeml at stat.math.ethz.ch> |
| BugReports: | https://github.com/christinaheinze/CompareCausalNetworks/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL] |
| URL: | https://github.com/christinaheinze/CompareCausalNetworks |
| NeedsCompilation: | no |
| Citation: | CompareCausalNetworks citation info |
| CRAN checks: | CompareCausalNetworks results |
| Reference manual: | CompareCausalNetworks.pdf |
| Package source: | CompareCausalNetworks_0.1.9.tar.gz |
| Windows binaries: | r-devel: CompareCausalNetworks_0.1.9.zip, r-release: CompareCausalNetworks_0.1.9.zip, r-oldrel: CompareCausalNetworks_0.1.9.zip |
| OS X El Capitan binaries: | r-release: CompareCausalNetworks_0.1.9.tgz |
| OS X Mavericks binaries: | r-oldrel: CompareCausalNetworks_0.1.9.tgz |
| Old sources: | CompareCausalNetworks archive |
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