mvord.control

logical, if <code>TRUE</code> standard errors are computed.

vector of (optional) starting values.

start.values

character string containing the name of the applicable solver of <code><a rd-options="" href="/link/optimx?package=mvord&version=1.1.1" data-mini-rdoc="mvord::optimx">optimx</a></code> (default is <code>"newuoa"</code>)
or wrapper function for user defined solver.

solver

a list of control arguments to be passed to <code><a rd-options="" href="/link/optimx?package=mvord&version=1.1.1" data-mini-rdoc="mvord::optimx">optimx</a></code>. See <code><a rd-options="" href="/link/optimx?package=mvord&version=1.1.1" data-mini-rdoc="mvord::optimx">optimx</a></code>.

solver.optimx.control

Control arguments are set for <code>mvord()</code>.

A flexible framework for fitting multivariate
ordinal regression models with composite likelihood methods. Methodological details are given in Hirk, Hornik, Vana (2020) <doi:10.18637/jss.v093.i04>.

Rainer Hirk

mvord

Multivariate Ordinal Regression Models

mvord.control function

character string containing the name of the applicable solver of <code><a rd-options='' href='optimx'>optimx</a></code> (default is <code>"newuoa"</code>)
or wrapper function for user defined solver.

a list of control arguments to be passed to <code><a rd-options='' href='optimx'>optimx</a></code>. See <code><a rd-options='' href='optimx'>optimx</a></code>.

mvord.control: Control functions for mvord()

Description

Usage

Arguments

See Also