frogs

Presence or absence of 9 species of frogs at 104 sites, 3 covariates collected at these sites and their coordinates.

datasets

Fits joint species distribution models ('jSDM')
in a hierarchical Bayesian framework (Warton and al. 2015
<doi:10.1016/j.tree.2015.09.007>). The Gibbs sampler is written
in 'C++'. It uses 'Rcpp', 'Armadillo' and 'GSL' to maximize computation
efficiency.

Jeanne Cl<c3><a9>ment

jSDM

Joint Species Distribution Models

Jeanne Clément

Ghislain Vieilledent

Frédéric Gosselin

CIRAD 

frogs function

<code>frogs</code> is a data frame with 104 observations on the following 14 variables.<dl>
 <dt><code>Species_</code></dt>
<dd>1 to 9 indicate by a 0 the absence of the species on one site and by a 1 its presence</dd>
 
 <dt><code>Covariates_</code></dt>
<dd>1 and 3 continuous variables</dd> <dt><code>Covariates_</code></dt>
<dd>2 discrete variables</dd> <dt><code>x</code></dt>
<dd>a numeric vector of first coordinates corresponding to each site</dd> <dt><code>y</code></dt>
<dd>a numeric vector of second coordinates corresponding to each site</dd> 
</dl>

Format

frogs dataset — frogs

<code>frogs</code> is a data frame with 104 observations on the following 14 variables.<dl>
 <dt><code>Species_</code></dt>
<dd>1 to 9 indicate by a 0 the absence of the species on one site and by a 1 its presence</dd>
 
 <dt><code>Covariates_</code></dt>
<dd>1 and 3 continuous variables</dd>

 <dt><code>Covariates_</code></dt>
<dd>2 discrete variables</dd>

 <dt><code>x</code></dt>
<dd>a numeric vector of first coordinates corresponding to each site</dd>

 <dt><code>y</code></dt>
<dd>a numeric vector of second coordinates corresponding to each site</dd>

 
</dl>

frogs: frogs dataset

Description

Arguments

Format

Examples