gginv: Generalized Inverse of a Matrix using a custom tolerance or...
In mlfit: Iterative Proportional Fitting Algorithms for Nested Structures

Description Usage Arguments Details Value Author(s) See Also

View source: R/grake.R

The gginv function creates a function that calculates the Moore-Penrose generalized inverse of a matrix X using a fixed tolerance value and a custom implementation for computing the singular value decomposition.

1	gginv(tol = sqrt(.Machine$double.eps), svd = base::svd)

`tol`	A relative tolerance to detect zero singular values.
`svd`	A function that computes the singular value decomposition of a matrix

The svd argument is expected to adhere to the interface of base::svd(). It will be called as svd(x) (with the nu and nv arguments unset) and is expected to return a named list with components d, u and v.

A function that accepts one argument X that computes a MP generalized inverse matrix for it.

Adapted implementation from the MASS package.

MASS::ginv(), base::svd()

mlfit documentation built on Oct. 8, 2021, 9:09 a.m.