marg.param

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

logistic models

ordinal models

Provides functions for defining
mixed graphs containing three types of edges, directed,
undirected and bi-directed, with possibly multiple edges.
These graphs are useful because they capture fundamental
independence structures in multivariate distributions
and in the induced distributions after marginalization
and conditioning.
The package is especially concerned with Gaussian graphical
models for
(i) ML estimation for directed acyclic graphs, undirected and
bi-directed graphs and ancestral graph models
(ii) testing several conditional independencies
(iii) checking global identification of DAG Gaussian models
with one latent variable
(iv) testing Markov equivalences and generating Markov
equivalent graphs of specific types.

Giovanni M Marchetti

Graphical Markov Models with Mixed Graphs

Giovanni M. Marchetti

Mathias Drton

Kayvan Sadeghi

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