networkTomography: Tools for network tomography
Version 0.3

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.

Getting started

Package details

AuthorAlexander W Blocker, Paul Koullick, Edoardo Airoldi
Date of publication2014-01-10 07:28:23
MaintainerAlexander W Blocker <[email protected]>
LicenseLGPL-2
Version0.3
URL https://github.com/awblocker/networkTomography
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("networkTomography")

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networkTomography documentation built on May 29, 2017, 4:56 p.m.