sdmModels-class

sdmEvaluate-class

sdmFormula-class

listORcharacter-class

characterORnull-class

CRSorNULL-class

formulaORnull-class

numericORnull-class

characterORmissing-class

listORnull-class

functionORnull-class

matrixORnull-class

data.frameORnull-class

functionORcharacter-class

environmentORnull-class

expressionORnull-class

integerORnull-class

data.frameORmatrix-class

.pcaObject-class

show,sdmModels-method

An S4 class to keep all the information of fitted models as well as their evaluations.

classes

spatial

sdmModels-classes

An extensible framework for developing species distribution
models using individual and community-based approaches, generate ensembles of
models, evaluate the models, and predict species potential distributions in
space and time. For more information, please check the following paper:
Naimi, B., Araujo, M.B. (2016) <doi:10.1111/ecog.01881>.

Babak Naimi

Species Distribution Modelling

sdmModels-classes function

Slots for sdmModels objects:<dl>
<dt><code>data</code></dt>
<dd>a sdmdata object</dd>
<dt><code>recordIDs</code></dt>
<dd>Contains the species data</dd>
<dt><code>setting</code></dt>
<dd>A data.frame containing predictor variables</dd>
<dt><code>run.info</code></dt>
<dd>a data.frame containing info on runs</dd>
<dt><code>replicates</code></dt>
<dd>The names of categorical variables (if any)</dd>
<dt><code>models</code></dt>
<dd>a list contains all fitted objects and relevant information (e.g., evaluation)</dd>
 Slots for sdmEvaluate objects:
<dt><code>observed</code></dt>
<dd>a numeric vector of observed values</dd>
<dt><code>predicted</code></dt>
<dd>a numeric vector of predicted values</dd>
<dt><code>statistics</code></dt>
<dd>a list of threshold-independent statistics</dd><dt><code>threshold_based</code></dt>
<dd>a data.frame of threshold-based statistics</dd>
 Slots for sdmFormula objects:
<dt><code>formula</code></dt>
<dd>input formula</dd>
<dt><code>vars</code></dt>
<dd>character, name of variables</dd>
<dt><code>model.terms</code></dt>
<dd>the formula terms used in model fitting</dd><dt><code>data.terms</code></dt>
<dd>the formula terms used to manipulate data</dd> 
 
</dl>

Slots

Babak Naimi
<a href="/link/naimi.b%40gmail.com?package=sdm&version=1.2-32" data-mini-rdoc="sdm::naimi.b@gmail.com">naimi.b@gmail.com</a>
<a href="https://www.r-gis.net/">https://www.r-gis.net/</a>
<a href="https://www.biogeoinformatics.org/">https://www.biogeoinformatics.org/</a>

Author

An S4 class to keep all the information of fitted models as well as their evaluations.

sdmModels classes — sdmModels-classes

Slots for sdmModels objects:<dl>
<dt><code>data</code></dt>
<dd>a sdmdata object</dd>


<dt><code>recordIDs</code></dt>
<dd>Contains the species data</dd>


<dt><code>setting</code></dt>
<dd>A data.frame containing predictor variables</dd>


<dt><code>run.info</code></dt>
<dd>a data.frame containing info on runs</dd>


<dt><code>replicates</code></dt>
<dd>The names of categorical variables (if any)</dd>


<dt><code>models</code></dt>
<dd>a list contains all fitted objects and relevant information (e.g., evaluation)</dd>




 Slots for sdmEvaluate objects:
<dt><code>observed</code></dt>
<dd>a numeric vector of observed values</dd>


<dt><code>predicted</code></dt>
<dd>a numeric vector of predicted values</dd>


<dt><code>statistics</code></dt>
<dd>a list of threshold-independent statistics</dd>

<dt><code>threshold_based</code></dt>
<dd>a data.frame of threshold-based statistics</dd>


 Slots for sdmFormula objects:
<dt><code>formula</code></dt>
<dd>input formula</dd>


<dt><code>vars</code></dt>
<dd>character, name of variables</dd>


<dt><code>model.terms</code></dt>
<dd>the formula terms used in model fitting</dd>

<dt><code>data.terms</code></dt>
<dd>the formula terms used to manipulate data</dd>

 
 
</dl>

Babak Naimi
<a href='mailto:naimi.b@gmail.com'>naimi.b@gmail.com</a>
<a href='https://www.r-gis.net/'>https://www.r-gis.net/</a>
<a href='https://www.biogeoinformatics.org/'>https://www.biogeoinformatics.org/</a>

sdmModels classes

sdmModels-classes: sdmModels classes

Description

Arguments

Slots

Author