imodel-mmod

mmod

coef.mModel

coefficients.mModel

print.mModel

summary.mModel

mmod_dimension

A mixed interaction model is a model (often with conditional
independence restrictions) for a combination of discrete and continuous
variables.

models

Provides the following types of models: Models for contingency
tables (i.e. log-linear models) Graphical Gaussian models for multivariate
normal data (i.e. covariance selection models) Mixed interaction models.
Documentation about 'gRim' is provided by vignettes included in this
package and the book by Højsgaard, Edwards and Lauritzen (2012,
<doi:10.1007/978-1-4614-2299-0>); see 'citation("gRim")' for details.

Søren Højsgaard

gRim

Graphical Interaction Models

imodel-mmod function

<dl><dt>formula</dt>
<dd>A right hand sided formula specifying the model.</dd>
<dt>data</dt>
<dd>Data (a dataframe)</dd>
<dt>marginal</dt>
<dd>A possible subsets of columns of <code>data</code>; useful when
<code>formula</code> contains model specification shortcuts.</dd>
<dt>fit</dt>
<dd>Currently not used</dd>
<dt>details</dt>
<dd>For printing debugging information</dd></dl>

Arguments

Søren Højsgaard, <a href="/link/sorenh%40math.aau.dk?package=gRim&version=0.3.4" data-mini-rdoc="gRim::sorenh@math.aau.dk">sorenh@math.aau.dk</a>

Author

Mixed interaction model. — imodel-mmod

<dl>

<dt>formula</dt>
<dd>A right hand sided formula specifying the model.</dd>


<dt>data</dt>
<dd>Data (a dataframe)</dd>


<dt>marginal</dt>
<dd>A possible subsets of columns of <code>data</code>; useful when
<code>formula</code> contains model specification shortcuts.</dd>


<dt>fit</dt>
<dd>Currently not used</dd>


<dt>details</dt>
<dd>For printing debugging information</dd>

</dl>

Søren Højsgaard, <a href='mailto:sorenh@math.aau.dk'>sorenh@math.aau.dk</a>

imodel-mmod: Mixed interaction model.

Description

Usage

Value

Arguments

Author

See Also

Examples