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danlwarren/ENMTools: ENMTools 1.0.4

Dan Warren; Russell Dinnage; Nicholas J. Matzke; Nicholas Huron; John Baumgartner

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    <subfield code="a">&lt;p&gt;I forgot to create GitHub releases for versions 1.0.2 and 1.0.3, but I'm going to try to be good about it from now on.  Here are the intervening changes:&lt;/p&gt;
ENMTools 1.0.4
Bug Fixes
&lt;li&gt;Raes and ter Steege-style tests were returning incorrect evaluate objects, although plots and p values were correct&lt;/li&gt;
&lt;li&gt;test.prop = "block" wasn't working correctly&lt;/li&gt;
&lt;li&gt;Suppressing maxent startup messages by default&lt;/li&gt;
&lt;li&gt;Added support for bias layers to modeling functions&lt;/li&gt;
&lt;li&gt;Added check.env function to homogenize raster stacks so NAs propagate across layers&lt;/li&gt;
ENMTools 1.0.3
&lt;li&gt;Brought up to date for new &lt;strong&gt;spatstat&lt;/strong&gt; changes&lt;/li&gt;
&lt;li&gt;Removed &lt;strong&gt;ppmlasso&lt;/strong&gt; until it is brought back on CRAN&lt;/li&gt;
ENMTools 1.0.2
&lt;li&gt;Added a new general-purpose function for making background layers from point data.  It can do both circular buffers and buffered convex hulls, and can return points, a polygon, or a raster.  Converted the existing background buffer functions to just call this one, and will eventually deprecate the single-application functions.&lt;/li&gt;
&lt;li&gt;Added ability to select which corner you want for "block" validation.&lt;/li&gt;
&lt;li&gt;Added a function called &lt;em&gt;multi.variogram&lt;/em&gt; which takes a raster stack, builds a variogram for each layer, and then plots the gamma for each variable as a function of distance, scaled by the maximum gama for that variable.  This allows users to get some idea of the level of spatial autocorrelation in each predictor variable.&lt;/li&gt;
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