ca (version 0.2)

iterate.mjca: Updating a Burt matrix in Joint Correspondence Analysis

Description

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

Usage

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

Arguments

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.

Value

• B.star
  The updated Burt matrix
• crit
  Vector of length 2 containing the number of iterations and epsilon

Details

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 Join Correspondence Analysis is performed.

See Also

mjca