RELEASE NOTES
spatstat 1.551
05 April 2018
We thank Jens Astrom, Ines Moncada, Mehdi Moradi and Nicholas Read for contributions.
OVERVIEW

More support for tessellations.

Improved support for linear networks.

Fixed longstanding bug in leverage and influence diagnostics.

Minor improvements and bug fixes.

Version nickname: “Gamble Responsibly”
NEW FUNCTIONS

summary.ssf
Summary method for a spatially sampled function (class ‘ssf’). 
unstack.tess
Given a tessellation with multiple columns of marks,
take the columns one at a time, and return a list of tessellations,
each carrying only one of the original columns of marks.
SIGNIFICANT USERVISIBLE CHANGES

plot.tess
This plot method can now fill each tile with a different colour.
New arguments ‘do.col’, ‘values’, ‘col’ and ‘ribargs’.
Old argument ‘col’ has been renamed ‘border’ for consistency. 
integral.linim, integral.linfun
Argument ‘domain’ can now be a tessellation. 
integral.ssf
Argument ‘domain’ can now be a tessellation. 
as.owin.default
Now accepts a structure with entries named ‘xmin,ymin,xmax,ymax’
in any order. This handles objects of class ‘bbox’ in the ‘sf’ package. 
as.owin.default
Now detects objects of class “SpatialPolygons”
and issues a more helpful error message. 
pseudoR2.ppm, pseudoR2.lppm
The null model now includes any offset terms, by default.
[Suggested by Jens Astrom.]
New argument ‘keepoffset’. 
closepairs.ppp
New argument ‘periodic’ 
fitted.ppm
New argument ‘ignore.hardcore’. 
predict.ppm
New argument ‘ignore.hardcore’. 
leverage.ppm, influence.ppm, dfbetas.ppm
Computation has been vastly accelerated for models with Geyer interaction
fitted using isotropic or translation edge corrections. 
leverage.ppm, influence.ppm, dfbetas.ppm
Virtually all models and edge corrections are now supported,
using a “brute force” algorithm. This can be slow in some cases. 
cdf.test
Monte Carlo test runs faster. 
summary.distfun, summary.funxy
Pixel resolution can now be controlled. 
persp.funxy
Improved zaxis label. 
plot.ppp
Improved placement of symbol legend when argument ‘symap’ is given. 
plot.msr
Changed the default rule for bandwidth for smoothing the density.
BUG FIXES

nnmark, as.im.ssf
if marks(X) was a matrix rather than a data frame,
the results were completely incorrect (and had completely wrong format).
Fixed. 
predict.mppm
If the model included random effects, and if the library ‘MASS’ was not loaded,
the predictions were on the log scale (i.e. they were logarithms of the correct values).
[Spotted by Nicholas Read.]
Fixed. 
leverage.ppm, influence.ppm, dfbetas.ppm
Calculations were slightly incorrect for models with a hard core.
Fixed. 
leverage.ppm
The mean leverage value (shown as a contour line in plot.leverage.ppm)
was slightly incorrect for Gibbs models.
Fixed. 
Ops.msr
If the input data contained an auxiliary pixel image of
the density component of the measure (attribute “smoothdensity”)
this image was not updated; it was copied to the output unchanged.
Plots of the resulting measure were incorrect, but calculations
with the measure were correct.
Fixed. 
integral.msr
If the result was a matrix, it was the transpose of the correct answer.
Fixed. 
”[.linim”
The result sometimes had the wrong class.
Fixed. 
”[.linnet”
In calculating L[W] where W is a window, the code ignored
segments of L that crossed W without having a vertex in W.
Fixed. 
nnmap
Crashed if W = NULL.
Fixed. 
density.lpp, nncross.lpp
Crashed sometimes with an obscure message about “z$which”.
[Spotted by Ines Moncada.]
Fixed. 
as.im.distfun
Crashed, for the distfun of a point pattern, if approx=FALSE.
Fixed. 
as.solist
Crashed when x was a ‘layered’ object.
Fixed. 
linnet
Crashed in some trivial cases where there were no points or lines.
Fixed.
Release notes are available in raw text format here.