logLikNull

logLikNull.rpm

Calculate the null model likelihood

Statistical estimation of revealed preference models from data collected on bipartite matchings. The models are for matchings within a bipartite population where individuals have utility for people based on known and unknown characteristics. People can form a partnership or remain unpartnered. The model represents both the availability of potential partners of different types and preferences of individuals for such people. The software estimates preference parameters based on sample survey data on partnerships and population composition. The simulation of matchings and goodness-of-fit are considered. See Goyal, Handcock, Jackson, Rendall and Yeung (2022) <doi:10.1093/jrsssa/qnad031>.

Mark S Handcock

Modeling of Revealed Preferences Matchings

Mark S. Handcock

Ryan M.  Admiraal

Fiona C. Yeung

Heide M. Jackson

Michael S. Rendall

Shuchi Goyal

logLikNull function

<dl><dt>object</dt>
<dd>a fitted model.</dd>
<dt>...</dt>
<dd>further arguments to lower-level functions.
<code>logLikNull</code> computes, when possible the log-probability of
the data under the null model (reference distribution).</dd></dl>

Arguments

<ul>
<li><code>logLikNull(rpm)</code>: A method for [`rpm`] fits to compute the null likelihood (that is, relative to the constant only model).</li>
</ul>

Methods (by class)

Calculate the null model likelihood — logLikNull

<dl>

<dt>object</dt>
<dd>a fitted model.</dd>


<dt>...</dt>
<dd>further arguments to lower-level functions.
<code>logLikNull</code> computes, when possible the log-probability of
the data under the null model (reference distribution).</dd>

</dl>

logLikNull: Calculate the null model likelihood

Description

Usage

Value

Arguments

Methods (by class)