mle.GRW

mle.URW

mle.Stasis

Analytical ML estimator for random walk and stasis models

Facilitates analysis of paleontological sequences of trait values.
Functions are provided to fit, using maximum likelihood, simple
evolutionary models (including unbiased random walks, directional
evolution,stasis, Ornstein-Uhlenbeck, covariate-tracking) and
complex models (punctuation, mode shifts).

Gene Hunt

paleoTS

Analyze Paleontological Time-Series

mle.GRW function

<dl><dt>y</dt>
<dd>a <code>paleoTS</code> object</dd></dl>

Arguments

<ul>
<li><code>mle.URW()</code>: ML parameter estimates for URW model</li>
<li><code>mle.Stasis()</code>: ML parameter estimates for Stasis model</li>
</ul>

Functions

Analytical ML estimator for random walk and stasis models — mle.GRW

<dl>

<dt>y</dt>
<dd>a <code>paleoTS</code> object</dd>

</dl>

mle.GRW: Analytical ML estimator for random walk and stasis models

Description

Usage

Value

Arguments

Functions

See Also