csvd: Constrained SVD of a matrix (wrapper of c++ functions).
In vguillemot/csvd: Constrained Singular Value Decomposition

Constrained SVD of a matrix (wrapper of c++ functions).

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csvd(X, R = 2, au = rep(1.4, R), av = rep(1.4, R),
  itermax.pi = 1000, itermax.pocs = 1000, eps.pi = 1e-16,
  eps.pocs = 1e-16, init = "svd")

`X`	A matrix;
`R`	the desired rank of the singular decomposition;
`au`	The radiuses? (>0) of the l1 balls for each left vector
`av`	The radiuses? (>0) of the l1 balls for each right vector
`init`	How to initialize the algorithm
`itermax`	The maximum number of iterations
`eps`	Precision