Description Usage Arguments Value See Also Examples
The aggregate flows Y and their corresponding routing matrix A must include all aggregate source and destination flows.
1 2 | tomogravity(Y, A, lambda, lower = 0, normalize = FALSE,
.progress = "none", control = list())
|
Y |
n x m matrix contain one vector of observed aggregate flows per row. This should include all observed aggegrate flows with none removed due to redundancy. |
A |
m x k routing matrix. This need not be of full row rank and must include all source and destination flows. |
lambda |
Regularization parameter for mutual information prior. Note that this is scaled by the squared total traffic in the objective function before scaling the mututal information prior. |
lower |
Component-wise lower bound for xt in L-BFGS-B optimization. |
normalize |
If TRUE, xt and yt are scaled by N. Typically used in conjunction with calcN to normalize traffic to proportions, easing the tuning of lambda. |
.progress |
name of the progress bar to use, see
|
control |
List of control information for optim. |
A list containing three elements:
resultList, a list containing the output from running
tomogravity.fit
on each timepoint
changeFromInit, a vector of length n containing the relative L_1 change between the initial (IPFP) point-to-point flow estimates and the final tomogravity estimates
Xhat, a n x k matrix containing a vector of estimated point-to-point flows (for each time point) per row
Other tomogravity: tomogravity.fit
1 2 3 |
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