Package: CEMCtp
Type: Package
Title: Cross Entropy Monte Carlo procedure to obtain an optimal
        tau-path
Version: 1.0
Date: 2016-08-10
Author: Jie Ding < jding2@stanford.edu>, Fangyuan Zhang <fangyuan.zhang@ttu.edu>
Maintainer: Fangyuan Zhang <fangyuan.zhang@ttu.edu>
Description: Cross Entropy Monte Carlo procedure to obtain an optimal tau-path, CEMCtp, which can simultaneous detect positive and negative correlations in the same sample, and identify subsamples that provide evidence for the detected associations.
             Cross Entropy Monte Carlo procedure to obtain an optimal tau-score, CEMCts, which can simultaneous detect positive and negative correlations in the same sample.
License: GPL version 2 or newer
NeedsCompilation: yes
Packaged: 2016-10-25 03:00:13 UTC; zhang.1243
