/span>
</li>
<li>The likelihood contributions from the Kalman filters are based on
the <em>prior</em> estimates, which are one-step-ahead predictions. This
gives rise to <em>independent</em> one-step-ahead residuals, ideal for
residual analysis and goodness-of-fit model validation. The Laplace
filter does not produce such residuals inherently, and must instead
compute these on the side. Residual calculations are disabled by default
and determined with the <code>laplace.residuals</code> argument. The
computa