iterate.mjca: Updating a Burt matrix in Joint Correspondence Analysis
In ca: Simple, Multiple and Joint Correspondence Analysis

Description Usage Arguments Details Value See Also

Updating a Burt matrix in Joint Correspondence Analysis based on iteratively weighted least squares.

1	iterate.mjca(B, lev.n, nd = 2, maxit = 50, epsilon = 0.0001)

`B`	A Burt matrix.
`lev.n`	The number of levels for each factor from the original response pattern matrix.
`nd`	The required dimensionality of the solution.
`maxit`	The maximum number of iterations.
`epsilon`	A convergence criterion for the maximum absolute difference of updated values compared to the previous values. The iteration is completed when all differences are smaller than `epsilon`.

The function iterate.mjca computes the updated Burt matrix. This function is called from the function mjca when the option lambda="JCA", i.e. when a Joint Correspondence Analysis is performed.