iterate.mjca {ca} | R Documentation |

## 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 |

### 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 Joint Correspondence Analysis is performed.

### Value

`B.star` |
The updated Burt matrix |

`crit` |
Vector of length 2 containing the number of iterations and epsilon |

### See Also

[Package

*ca*version 0.71.1 Index]