mcmc_heatmap

Note that the colors represent the strength of the correlations (from 0 to
1), but do not inform about their sign. The method used to calculate
correlation coefficients is Spearman's rho.

Implements Bayesian models to analyze data from tracer addition
experiments. The implemented method was originally described in the article
"A New Method to Reconstruct Quantitative Food Webs and Nutrient Flows from
Isotope Tracer Addition Experiments" by López-Sepulcre et al. (2020)
<doi:10.1086/708546>.

Mattieu Bruneaux

isotracer

Isotopic Tracer Analysis Using MCMC

Andrés López-Sepulcre

Matthieu Bruneaux

mcmc_heatmap function

<dl><dt>x</dt>
<dd>A <code>coda::mcmc.list</code> object.</dd>
<dt>col</dt>
<dd>Optional, vectors of colors defining the color ramp. Default uses
the divergent palette "Blue-Red 2" from the colorspace package.</dd>
<dt>...</dt>
<dd>Passed to <code><a href="/link/heatmap?package=isotracer&version=1.1.8" data-mini-rdoc="isotracer::heatmap">heatmap</a></code>.</dd></dl>

Arguments

Draw a heatmap based on the correlations between parameters — mcmc_heatmap

<dl>

<dt>x</dt>
<dd>A <code>coda::mcmc.list</code> object.</dd>


<dt>col</dt>
<dd>Optional, vectors of colors defining the color ramp. Default uses
the divergent palette "Blue-Red 2" from the colorspace package.</dd>


<dt>...</dt>
<dd>Passed to <code><a href='https://rdrr.io/r/stats/heatmap.html'>heatmap</a></code>.</dd>

</dl>

mcmc_heatmap: Draw a heatmap based on the correlations between parameters

Description

Usage

Value

Arguments