creation of a D2C.descriptor

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`.Object` |
: the D2C.descriptor object |

`lin` |
: TRUE OR FALSE: if TRUE it uses a linear model to assess a dependency, otherwise a local learning algorithm |

`acc` |
: TRUE OR FALSE: if TRUE it uses the accuracy of the regression as a descriptor |

`struct` |
: TRUE or FALSE to use the ranking in the markov blanket as a descriptor |

`pq` |
:a vector of quantiles used to compute the descriptors |

`bivariate` |
:TRUE OR FALSE: if TRUE it includes also the descriptors of the bivariate dependence |

`ns` |
: size of the Markov Blanket returned by the mIMR algorithm |

Gianluca Bontempi, Maxime Flauder (2014) From dependency to causality: a machine learning approach. Under submission

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Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

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