summary.ShiftModel

Generate a summary of a fitted ShiVa model object, including estimated parameters and details of detected shifts in optimal trait value (mean) and evolutionary variance.

Implements statistical methods for detecting evolutionary shifts
in both the optimal trait value (mean) and evolutionary diffusion variance.
The method uses an L1-penalized optimization framework to identify branches
where shifts occur, and the shift magnitudes. It also supports the
inclusion of measurement error. For more details, see Zhang, Ho, and Kenney (2023) <doi:10.48550/arXiv.2312.17480>.

Wensha Zhang

ShiVa

Detection of Evolutionary Shifts in Both Optimal Value and
Variance

Lam Si Tung Ho

Toby Kenney

summary.ShiftModel function

<dl><dt>object</dt>
<dd>An object of class <code>ShiftModel</code>, typically returned by functions such as <code>fit_OU_mean_var()</code>, or extracted as <code>best_model</code> from <code>get_mean_var_shifts_model_selection()</code> or <code>ShiVa()</code>.</dd>
<dt>...</dt>
<dd>Additional arguments (currently unused).</dd></dl>

Arguments

Summary of a ShiVa Shift Model — summary.ShiftModel

<dl>

<dt>object</dt>
<dd>An object of class <code>ShiftModel</code>, typically returned by functions such as <code>fit_OU_mean_var()</code>, or extracted as <code>best_model</code> from <code>get_mean_var_shifts_model_selection()</code> or <code>ShiVa()</code>.</dd>


<dt>...</dt>
<dd>Additional arguments (currently unused).</dd>

</dl>

summary.ShiftModel: Summary of a ShiVa Shift Model

Description

Usage

Value

Arguments