getSrcDstIndices

routing matrix of dimension m x k. This should
  be the reduced-rank version including all aggregate
  source and destination flows.


This works only for routing matrices that include all
aggregate source and destination flows. It is often easier
to build these indices manually via string processing or
during the construction of the routing matrix.


algebra

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.

getSrcDstIndices: Find indices of source and destination for each point-to-point flow

Description

Usage

Arguments

Value

Examples