logLik.sarprobit

logLik.semprobit

The functions return the log likelihood for the spatial autoregressive probit model
(SAR probit, spatial lag model) and the spatial error model probit (SEM probit).

logLik

A collection of methods for the Bayesian estimation of Spatial Probit, Spatial Ordered Probit and Spatial Tobit Models. Original implementations from the works of 'LeSage and Pace' (2009, ISBN: 1420064258) were ported and adjusted for R, as described in 'Wilhelm and de Matos' (2013) <doi:10.32614/RJ-2013-013>.

Stefan Wilhelm

spatialprobit

Spatial Probit Models

Miguel Godinho de Matos

logLik function

<dl> <dt>object</dt>
<dd>a fitted <code>sarprobit</code> or <code>semprobit</code> object</dd> <dt>...</dt>
<dd>further arguments passed to or from other methods</dd></dl>

Arguments

Stefan Wilhelm &lt;wilhelm@financial.com&gt;

Author

Log Likelihood for spatial probit models (SAR probit, SEM probit) — logLik

<dl>

 <dt>object</dt>
<dd>a fitted <code>sarprobit</code> or <code>semprobit</code> object</dd>

 <dt>...</dt>
<dd>further arguments passed to or from other methods</dd>

</dl>

logLik: Log Likelihood for spatial probit models (SAR probit, SEM probit)

Description

Usage

Value

Arguments

Author

See Also