D2C

Package: D2C
Type: Package
Title: Predicting Causal Direction from Dependency Features
Version: 1.2.1
Date: 2015-01-14
Author: Gianluca Bontempi, Catharina Olsen, Maxime Flauder
Maintainer: Catharina Olsen <colsen@ulb.ac.be>
Description: The relationship between statistical dependency and causality lies
at the heart of all statistical approaches to causal inference. The D2C
package implements a supervised machine learning approach to infer the
existence of a directed causal link between two variables in multivariate
settings with n>2 variables. The approach relies on the asymmetry of some
conditional (in)dependence relations between the members of the Markov
blankets of two variables causally connected. The D2C algorithm predicts
the existence of a direct causal link between two variables in a
multivariate setting by (i) creating a set of of features of the
relationship based on asymmetric descriptors of the multivariate dependency
and (ii) using a classifier to learn a mapping between the features and the
presence of a causal link
License: Artistic-2.0
Depends: R (>= 2.10.0), randomForest
Imports: gRbase, lazy, RBGL, MASS, corpcor, methods, Rgraphviz, foreach
LazyData: true
Packaged: 2015-01-20 15:26:57 UTC; bontempi
Suggests: knitr
VignetteBuilder: knitr
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-01-21 00:23:55

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'D2C' ...
** package 'D2C' successfully unpacked and MD5 sums checked
** R
** data
*** moving datasets to lazyload DB
** inst
** preparing package for lazy loading
Creating a new generic function for 'update' in package 'D2C'
Creating a generic function for 'predict' from package 'stats' in package 'D2C'
** help
*** installing help indices
  converting help for package 'D2C'
    finding HTML links ... done
    BER                                     html  
    D2C-class                               html  
    DAG.network-class                       html  
    alarm                                   html  
    compute-DAG.network-method              html  
    dataset                                 html  
    descriptor                              html  
    finding level-2 HTML links ... done

    example                                 html  
    initialize-D2C-method                   html  
    initialize-D2C.descriptor-method        html  
    initialize-DAG.network-method           html  
    initialize-simulatedDAG-method          html  
    mimr                                    html  
    predict-D2C-method                      html  
    simulatedDAG-class                      html  
    true.net                                html  
    update-simulatedDAG-method              html  
    updateD2C-D2C-method                    html  
** building package indices
** installing vignettes
** testing if installed package can be loaded
* DONE (D2C)
Making 'packages.html' ... done