summary.jtdm_fit

Prints the summary of a fitted jtdm

Fitting and analyzing a Joint Trait Distribution Model. The Joint Trait Distribution Model is implemented in the Bayesian framework using conjugate priors and posteriors, thus guaranteeing fast inference. In particular the package computes joint probabilities and multivariate confidence intervals, and enables the investigation of how they depend on the environment through partial response curves. The method implemented by the package is described in Poggiato et al. (2023) <doi:10.1111/geb.13706>.

Giovanni Poggiato

jtdm

Joint Modelling of Functional Traits

summary.jtdm_fit function

<dl><dt>object</dt>
<dd>a model fitted with <code>jtdm_fit</code></dd>
<dt>...</dt>
<dd>additional arguments</dd></dl>

Arguments

Author

Prints the summary of a fitted jtdm — summary.jtdm_fit

<dl>

<dt>object</dt>
<dd>a model fitted with <code>jtdm_fit</code></dd>


<dt>...</dt>
<dd>additional arguments</dd>

</dl>

summary.jtdm_fit: Prints the summary of a fitted jtdm

Description

Usage

Value

Arguments

Author

Examples