nparams_ou

<code>nparams_ou</code> returns the number of parameters of the unrestricted OU model. For the restricted
models, including Brownian motion, see <code>parameter_restriction</code> for details.

A framework for analytically computing the asymptotic confidence intervals and maximum-likelihood estimates of a class of continuous-time Gaussian branching processes defined by Mitov V, Bartoszek K, Asimomitis G, Stadler T (2019) <doi:10.1016/j.tpb.2019.11.005>. The class of model includes the widely used Ornstein-Uhlenbeck and Brownian motion branching processes. The framework is designed to be flexible enough so that the users can easily specify their own sub-models, or re-parameterizations, and obtain the maximum-likelihood estimates and confidence intervals of their own custom models.

Hao Chi Kiang

glinvci

Phylogenetic Comparative Methods with Uncertainty Estimates

Woodrow Kiang

nparams_ou function

<dl><dt>k</dt>
<dd>An Integer. The total number of dimensions of the multivariate traits.</dd></dl>

Arguments

Get the number of parameters of the unrestricted OU model — nparams_ou

<dl>

<dt>k</dt>
<dd>An Integer. The total number of dimensions of the multivariate traits.</dd>

</dl>

nparams_ou: Get the number of parameters of the unrestricted OU model

Description

Usage

Value

Arguments