Analysis of Multiple Time Course Data

longitudinal page on CRAN.

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.

Current Version: 1.1.13

Authors: Rainer Opgen-Rhein and Korbinian Strimmer.

Documentation and Installation:

Quick install: enter at the R console: install.packages( "longitudinal", dependencies=TRUE)

• Manual (pdf file) and release history.
• Download of longitudinal version 1.1.13 source package.
• Archive of previous versions of longitudinal.
• 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.
  
• R. Opgen-Rhein and K. Strimmer. 2006. Inferring gene dependency networks from genomic longitudinal data: a functional data approach. REVSTAT 4:53-65.

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