networkTomography: Tools for network tomography

networkTomography implements the methods developed and evaluated in Blocker and Airoldi (2011) and Airoldi and Blocker (2012). These include the authors' own dynamic multilevel model with calibration based upon a Gaussian state-space model in addition to implementations of the methods of Tebaldi & West (1998; Poisson-Gamma model with MCMC sampling), Zhang et al. (2002; tomogravity), Cao et al. (2000; Gaussian model with mean-variance relation), and Vardi (1996; method of moments). Data from the 1router network of Cao et al. (2000), the Abilene network of Fang et al. (2007), and the CMU network of Blocker and Airoldi (2011) are included for testing and reproducibility.

Version: 0.3
Depends: R (≥ 2.10.0)
Imports: coda (≥ 0.11-3), igraph (≥ 0.5), KFAS (≥ 1.0), limSolve (≥ 1.4), plyr, Rglpk (≥ 0.3)
Published: 2014-01-10
Author: Alexander W Blocker, Paul Koullick, Edoardo Airoldi
Maintainer: Alexander W Blocker <ablocker at gmail.com>
License: LGPL-2
URL: https://github.com/awblocker/networkTomography
NeedsCompilation: yes
Materials: README
CRAN checks: networkTomography results

Downloads:

Reference manual: networkTomography.pdf
Package source: networkTomography_0.3.tar.gz
MacOS X binary: networkTomography_0.3.tgz
Windows binary: networkTomography_0.3.zip
Old sources: networkTomography archive