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.