Major changes

Model fitting implemented as infinitely-weighted logistic regression, so that all computation can be done natively in R (maxent.jar no longer required).
Implements choice of algorithm: "maxent" for maximum entropy or "LR" for standard logistic regression (binomial GLM).
No files written to system unless write = TRUE
Choice of Chi-squared or F-test in nested model comparison
More consistency in arguments across top-level functions
Selection trail tables simplified and clarified

Minor changes

increased flexibility in graphics arguments passed to plotting functions
quiet option added to top-level functions performing selection
readData() automatically removes duplicates when two or more presences/absences fall in the same cell
readData() discards presence locations with missing EV data
formula argument to selectEV() function, to specifiy starting point for selection
plotFOP() smoother changed to loess from exponentially weighted moving average
plotFOP() plots data density behind FOP values
plotFOP() returns plot data invisibly
plotResp() and plotResp2() take identical arguments, the first of which is a model object
projectModel() takes data in data.frame or raster classes, and plots output spatially in the case of the latter
trainmax argument removed from selectDVforEV() and selectEV()
testAUC() plotting optional