Analysis of Multiple Time Course Data

This package contains general data structures and functions for longitudinal data with multiple variables, repeated measurements, and irregularly spaced time points. It also implements a shrinkage estimator of dynamical correlation and dynamical covariance.

Version: 1.1.4

Authors: Rainer Opgen-Rhein and Korbinian Strimmer.

Documentation and Installation:

• Help pages and release history.
• Local download of longitudinal source package.
• Licensed under the GNU GPL version 3 (or any later version).

Papers:

• R. Opgen-Rhein and K. Strimmer. 2006. Using regularized dynamic correlation to infer gene dependency networks from time-series microarray data. Proceedings of the 4th International Workshop on Computational Systems Biology, WCSB 2006 (June 12-13, 2006, Tampere, Finland), pp. 73-76. (reprint)
  
• R. Opgen-Rhein and K. Strimmer. 2006. Inferring gene dependency networks from genomic longitudinal data: a functional data approach. REVSTAT 4:53-65. (reprint)

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