marg.param

Integer vector containing the number of levels of each variable.

A character vector with elements <code>"l"</code>, <code>"g"</code>, <code>"c"</code>, or 
<code>"r"</code> indicating the type of logit. The meaning is as follows:
<code>"g"</code> for global, <code>"c"</code> for continuation,
<code>"r"</code> for reverse continuation and <code>"l"</code> for local.

type

Provides the contrast and marginalization matrices for the marginal parametrization
of a probability vector.

logistic models

ordinal models

Tools for marginalization, conditioning and fitting by maximum likelihood.

Giovanni M Marchetti

Graphical Markov Models with Mixed Graphs

marg.param function

<dl> <dt>lev</dt>
<dd>Integer vector containing the number of levels of each variable.</dd> <dt>type</dt>
<dd>A character vector with elements <code>"l"</code>, <code>"g"</code>, <code>"c"</code>, or 
<code>"r"</code> indicating the type of logit. The meaning is as follows:
<code>"g"</code> for global, <code>"c"</code> for continuation,
<code>"r"</code> for reverse continuation and <code>"l"</code> for local.</dd></dl>

Arguments

Francesco Bartolucci, Antonio Forcina, Giovanni M. Marchetti

Author

Link function of marginal log-linear parameterization — marg.param

<dl>

 <dt>lev</dt>
<dd>Integer vector containing the number of levels of each variable.</dd>

 <dt>type</dt>
<dd>A character vector with elements <code>"l"</code>, <code>"g"</code>, <code>"c"</code>, or 
<code>"r"</code> indicating the type of logit. The meaning is as follows:
<code>"g"</code> for global, <code>"c"</code> for continuation,
<code>"r"</code> for reverse continuation and <code>"l"</code> for local.</dd>

</dl>

marg.param: Link function of marginal log-linear parameterization

Description

Usage

Value

Arguments

Author

Details

References

See Also

Examples