ipfp.control

positive convergence tolerance. The algorithm converges when the
absolute difference between the observed and the given row or column totals
is less than or equal to <code>tol</code>.

positive integer that indicates the maximum number of
iterations.

maxit

Control variables for the Iterative Proportion Fitting Procedure function
<code>ipfp</code>.

GEE solver for correlated nominal or ordinal multinomial responses
using a local odds ratios parameterization.

Anestis Touloumis

multgee

GEE Solver for Correlated Nominal or Ordinal Multinomial
Responses

ipfp.control function

<dl><dt>tol</dt>
<dd>positive convergence tolerance. The algorithm converges when the
absolute difference between the observed and the given row or column totals
is less than or equal to <code>tol</code>.</dd>
<dt>maxit</dt>
<dd>positive integer that indicates the maximum number of
iterations.</dd></dl>

Arguments

Author

IPFP Control — ipfp.control

<dl>

<dt>tol</dt>
<dd>positive convergence tolerance. The algorithm converges when the
absolute difference between the observed and the given row or column totals
is less than or equal to <code>tol</code>.</dd>


<dt>maxit</dt>
<dd>positive integer that indicates the maximum number of
iterations.</dd>

</dl>

ipfp.control: IPFP Control

Description

Usage

Arguments

Author

See Also