## qp: q-order partial correlation graph search algorithm

This package is deprecated and it is now only a stub for
the newer version called qpgraph available through the
Bioconductor project. The q-order partial correlation graph
search algorithm, q-partial, or qp, algorithm for short, is a
robust procedure for structure learning of undirected Gaussian
graphical Markov models from "small n, large p" data, that is,
multivariate normal data coming from a number of random
variables p larger than the number of multidimensional data
points n as in the case of, e.g., microarray data.

Version: |
0.3-2 |

Depends: |
R (≥ 2.10) |

Published: |
2012-03-19 |

Author: |
Robert Castelo, Alberto Roverato |

Maintainer: |
Robert Castelo <robert.castelo at upf.edu> |

License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |

NeedsCompilation: |
no |

In views: |
gR |

CRAN checks: |
qp results |

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