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