RELEASE NOTES 

		spatstat 1.25-3

		5 February 2012
	
   We thank Daniel Esser for contributions.

OVERVIEW

   Improved support for fitted point process models.
   Bug fixes.

NEW FUNCTIONS

   simulate.slrm
	Method for 'simulate' for spatial logistic regression models.

   labels.ppm, labels.kppm, labels.slrm
   	Methods for 'labels' for fitted point process models.

   commonGrid
	Determine a common spatial domain and pixel resolution
	for several pixel images and/or binary masks

IMPROVEMENTS/ENHANCEMENTS

   effectfun
	Now has argument 'se.fit' allowing calculation of standard errors
	and confidence intervals.

   [.msr
	Now handles character-valued indices. 

   print.summary.ppm
	Output gives a more precise description of the fitting method.

   ppm, kppm, slrm
   	Confidence intervals for the fitted trend parameters
	can now be obtained using 'confint' 

   predict.slrm
	New argument 'window' 

   union.owin
	Now also handles a single argument: union.owin(A) returns A.

BUGS

   [1] selfcrossing.psp
   y coordinate values were incorrect.
   [Spotted by Daniel Esser.]
   Fixed.

   [2] as.im.owin
   Did not handle a binary mask with a 1 x 1 pixel array.
   Fixed.

   [3] predict.slrm
   Results of predict(object, newdata) were incorrect 
   if the spatial domain of 'newdata' was larger than the original domain.
   Fixed.

   [4] ppm
   If the model was the uniform Poisson process,
   the argument 'rbord' was ignored.
   Fixed.

   [5] image subset assignment "[<-.im"
   Generated an error if the indexing argument 'i' 
   was a point pattern containing zero points.
   Fixed.

   [6] hyperframe subset assignment "[<-.hyperframe"
   Did not correctly handle the case where a single column 
   of the hyperframe was to be changed.
   Fixed.
   
   [7] help(bw.relrisk), help(rmh.ppm), help(plot.plotppm)
   These help files had the side-effect of changing some options
   in spatstat.options.
   Fixed.