m_estep

numeric vector (length m) of link loads from
  single time

numeric vector (length k) of mean OD flows
  from last M-step

lambda

numeric scalar scale for covariance matrix of
  xt

routing matrix (m x k) for network being
  analyzed

power parameter in model of Cao et al. (2000)

numeric nugget to add to diagonal of
  covariance for numerical stability

epsilon

Computes conditional expectation of OD flows for E-step
  of EM algorithm from Cao et al. (2000) for their locally
  IID model.

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.

m_estep: Compute conditional expectations for EM algorithms of Cao et al. (2000)

Description

Usage

Arguments

Value

References

See Also