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<p style="margin-bottom: 0cm">Dear biomod-users,</p>
<p style="margin-bottom: 0cm"><br>
</p>
<p style="margin-bottom: 0cm">The last version of biomod2 package
(2.0.xx) is able on R-Forge. List of added functionalities just
below..</p>
<p style="margin-bottom: 0cm"><br>
</p>
<ol>
<li>
<p style="margin-bottom: 0cm">New BIOMOD_EnsembleModeling(...)
arguments.</p>
<p style="margin-bottom: 0cm">In the last version of
BIOMOD_EnsembleModeling(...) function, « em.by » argument was
added. This argument controls the way models are combined to
build ensemble-models (e.g. By Pseudo-absences selection
dataset, statistical models, all models together...). Please
refer to EnsembleModelingAssembly vignette for further
details.</p>
</li>
<li>
<p style="margin-bottom: 0cm">response.plot2(...) : the new
function for response curves plotting.</p>
<p style="margin-bottom: 0cm">response.plot(...) function is
depreciated, you have to use response.plot2(...) instead. This
function mainly differs from its ancestor by the possibility
to produce bivariate response curves (3D) and possibility to
plot all models repetition 2D response plot on the same
graphic. Explanatory variables RasterStack are also supported
now. Please refer to associated help file for further details.</p>
</li>
<li>
<p style="margin-bottom: 0cm">Possibility to chose between
several GAM modelling algorithms (packages gam and mgcv). <br>
</p>
</li>
</ol>
<blockquote>
<p style="margin-bottom: 0cm">This choice is done by filling
BIOMOD_ModelingOptions' GAM$algo parameter. Supported values are
'GAM_mgcv' (default), 'GAM_gam' and 'BAM_mgcv' (mgcv gam for big
dataset). In case you choose 'mgcv' version of gam, you are
allowed to give your own formula. Please refer to
BIOMOD_ModelingOptions help file.</p>
</blockquote>
<p style="margin-bottom: 0cm"><br>
</p>
<ol start="4">
<li>
<p style="margin-bottom: 0cm">New args supported in
BIOMOD_Modelling :</p>
<ol>
<li>
<p style="margin-bottom: 0cm">do.full.models : do or not the
model calibrated and validated with 100% of data available
when you chose to split your dataset in several part for
doing calibration and validation (DataSplit arg) </p>
</li>
<li>
<p style="margin-bottom: 0cm">Prevalence : if given, a
vector of weights will be create to make observation
respect this prevalence value.</p>
</li>
</ol>
</li>
</ol>
<p style="margin-bottom: 0cm"><br>
</p>
<ol start="5">
<li>
<p style="margin-bottom: 0cm">New package help files index
organisation. </p>
<p style="margin-bottom: 0cm">To make package index helps files
easier to follow, we made a new package index display that
regroups biomod2 function by themes (e.g main functions,
getters...) instead of alphabetic ordering.</p>
</li>
</ol>
<p style="margin-bottom: 0cm">I hope you will enjoy this releases.</p>
<p style="margin-bottom: 0cm"><br>
</p>
<p style="margin-bottom: 0cm">Waiting for comments and suggestions,
</p>
<p style="margin-bottom: 0cm"><br>
</p>
<p style="margin-bottom: 0cm">Best,</p>
<p style="margin-bottom: 0cm"><br>
</p>
<p style="margin-bottom: 0cm">Damien.</p>
<p style="margin-bottom: 0cm"><br>
</p>
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<br>
</p>
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<br>
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</p>
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