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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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<oai_dc:dc xmlns:dc="" xmlns:oai_dc="" xmlns:xsi="" xsi:schemaLocation="">
  <dc:creator>Dan Warren</dc:creator>
  <dc:creator>Russell Dinnage</dc:creator>
  <dc:creator>Nicholas J. Matzke</dc:creator>
  <dc:creator>Nicholas Huron</dc:creator>
  <dc:creator>John Baumgartner</dc:creator>
  <dc:description>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:
ENMTools 1.0.4
Bug Fixes

Raes and ter Steege-style tests were returning incorrect evaluate objects, although plots and p values were correct
test.prop = "block" wasn't working correctly


Suppressing maxent startup messages by default
Added support for bias layers to modeling functions
Added check.env function to homogenize raster stacks so NAs propagate across layers

ENMTools 1.0.3

Brought up to date for new spatstat changes
Removed ppmlasso until it is brought back on CRAN

ENMTools 1.0.2

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.
Added ability to select which corner you want for "block" validation.
Added a function called multi.variogram 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.
  <dc:title>danlwarren/ENMTools: ENMTools 1.0.4</dc:title>
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