sinkhorn_knopp {nett} | R Documentation |
Sinkhorn–Knopp matrix scaling
Description
Implements the Sinkhorn–Knopp algorithm for transforming a square matrix with positive entries to a stochastic matrix with given common row and column sums (e.g., a doubly stochastic matrix).
Usage
sinkhorn_knopp(
A,
sums = rep(1, nrow(A)),
niter = 100,
tol = 1e-08,
sym = FALSE,
verb = FALSE
)
Arguments
A |
input matrix |
sums |
desired row/column sums |
niter |
number of iterations |
tol |
convergence tolerance |
sym |
whether to compute symmetric scaling D A D |
verb |
whether to print the current change |
Details
Computes diagonal matrices D1 and D2 to make D1AD2 into a matrix with
given row/column sums. For a symmetric matrix A
, one can set sym = TRUE
to
compute a symmetric scaling DAD.
Value
Diagonal matrices D1 and D2 to make D1AD2 into a matrix with given row/column sums.
[Package nett version 1.0.0 Index]