CEMCtp

PURPOSE: R package that provides two methods for finding subset correlation (either positive or negative) among a whole set of observations using Cross Entropy Monte Carl (CEMC) tau-path and CEMC tau-score algorithms.

Bullet Software (For running on Linux or Mac; in a zipped, tar file) Software (For running on Linux or Mac; in a zipped, tar file)

Bullet Brief Instructions for installing and runing CEMCtp.

Bullet ex.RData (R sample data for testing CEMCtp; may need to convert to data frame after loading the data)

Bullet References:

Lin, S., Ding, J. (2009) Integration of Ranked Lists via Cross Entropy Monte Carlo with Applications to mRNA and microRNA Studies. Biometrics, 65, 9-18. DOI: 10.1111/j.1541-0420.2008.01044.x. Zhang, F., Ding, J., Lin, S. Testing for Associations of Opposite Directionality in a Heterogeneous Population. Manuscript.

Bullet If you have any questions, please email Fangyuan Zhang at fangyuan.zhang@ttu.edu, Jie Ding at jding2@stanford.edu, or Shili Lin at shili@stat.osu.edu.