CHANGES IN spatstat.core VERSION 2.3-0
OVERVIEW
o We thank Chiara Fend for contributions.
o Extensive support for spatial logistic regression models.
o New fitting method in kppm and dppm.
o Transect of an image along a curve.
o Image cross-correlation and cross-covariance.
o Summary method for 'objsurf'.
o Minor bug fixes.
NEW FUNCTIONS
o response
Generic function which extracts the values of the response
in a fitted model. There are methods for lm, glm (which extract the
numeric vector of responses), and ppm, kppm, slrm, lppm and mppm
(which extract the original data point pattern).
o cov.im, cor.im
Correlation or covariance between several pixel images.
o summary.objsurf, print.summary.objsurf
Summary method for 'objsurf'
o residuals.slrm
Residuals for spatial logistic regression models.
o leverage.slrm, influence.slrm, dfbetas.slrm, dffit.slrm
Leverage and influence diagnostics for spatial logistic regression models.
o rhohat.slrm
Method for 'rhohat' for spatial logistic regression models.
o envelope.slrm
Method for 'envelope' for spatial logistic regression models.
o intensity.slrm
Method for 'intensity' for spatial logistic regression models.
o deviance.slrm
Method for 'deviance' for spatial logistic regression models.
o pseudoR2.slrm
Method for 'pseudoR2' for spatial logistic regression models.
o quadrat.test.slrm
Method for 'quadrat.test' for spatial logistic regression models.
o parameters.slrm
Method for 'parameters' for spatial logistic regression models.
o valid.slrm
Method for 'valid' for spatial logistic regression models.
o emend.slrm
Method for 'emend' for spatial logistic regression models.
o roc.slrm
Method for 'roc' for spatial logistic regression models.
o auc.slrm
Method for 'auc' for spatial logistic regression models.
o Window.slrm, as.owin.slrm
Methods for 'Window' and 'as.owin' for spatial logistic regression models.
SIGNIFICANT USER-VISIBLE CHANGES
o kppm, dppm
New option 'method="adapcl"' performs adaptive composite likelihood fitting.
[Contributed by Chiara Fend.]
o transect.im
New argument 'curve' allows the user to specify a curved transect.
BUG FIXES
o clusterfield
Values of the cluster field were slightly incorrect (slightly higher
than the correct values) near the edge of the window,
because an 'edge correction' was mistakenly applied.
Fixed.
o rhohat
The rug plot (produced by plot.rhohat) was incorrect
when rhohat was called with method="piecewise".
Fixed.
o markcrosscorr
Did not recognise the option 'correction="none"'.
Fixed.
o roc.ppp
The default plot of the result of roc.ppp
did not include the diagonal line 'y=x'.
Fixed.
CHANGES IN spatstat.core VERSION 2.2-0
OVERVIEW
o We thank Abdollah Jalilian, Yongtao Guan and Rasmus Waagepetersen
for contributions.
o summary method for spatial logistic regression models
o estimation of the spatial covariance function of a pixel image
o simulation of the product shot noise Cox process.
o extensions to rhohat
NEW FUNCTIONS
o rPSNCP
Generate simulated realisations of the product shot noise Cox process.
Contributed by Abdollah Jalilian, Yongtao Guan and Rasmus Waagepetersen.
o spatcov
Estimate the spatial covariance function of a pixel image.
o summary.slrm, print.summary.slrm
Summary method for spatial logistic regression models
o coef.summary.slrm
Print the fitted coefficients, confidence interval and p-values
for a spatial logistic regression model.
o pairMean
Compute the mean of a specified function of interpoint distance
between random points in a window.
SIGNIFICANT USER-VISIBLE CHANGES
o rhohat
New option (smoother='piecewise') computes a piecewise-constant
estimate of rho(z).
o rhohat
The result now includes the 'average' intensity rho.
o distcdf
Arguments which are NULL will be treated as missing.
o distcdf
New argument 'savedenom'.
CHANGES IN spatstat.core VERSION 2.1-2
OVERVIEW
o Reduced CRAN check time.
CHANGES IN spatstat.core VERSION 2.1-1
OVERVIEW
o Minor bug fix
BUG FIXES
o simulate.kppm
Conditional simulation crashed on rare occasions,
with an error about negative probabilities.
Fixed.
CHANGES IN spatstat.core VERSION 2.1-0
OVERVIEW
o We thank Achmad Choiruddin, Jean-Francois Coeurjolly
and Rasmus Waagepetersen for contributions.
o Conditional simulation in kppm
o Information criteria for model selection in kppm
o Modified handling of covariates in slrm
o densityfun.ppp handles query points outside original window
o Improved output in summary.mppm
o Minor improvements and bug fixes.
NEW FUNCTIONS
o ic
Information criteria for model selection in ppm and kppm.
Kindly contributed by Achmad Choiruddin, Jean-Francois Coeurjolly
and Rasmus Waagepetersen.
SIGNIFICANT USER-VISIBLE CHANGES
o simulate.kppm
Conditional simulation of the model, given a fixed number of points,
is now supported using the new arguments 'n.cond' and 'w.cond'.
o densityfun.ppp
The resulting function can now handle query points which lie
outside the window of the original data,
and has argument 'drop=TRUE' which specifies how to handle them.
o rpoint
New argument 'forcewin' forces the code to use the window 'win'
when 'f' is a pixel image.
o slrm
In the default case (where dataAtPoints is not given)
all spatial covariates, including the spatial coordinates x and y,
are now evaluated at the centre of each pixel. This improves
consistency with other implementations of spatial logistic regression.
o slrm
Silently ignores any arguments '...' that are not recognised by 'as.mask'
o summary.mppm
Improved summary of the dependence of the
interpoint interaction on the covariates.
o pairs.im
New argument 'drop'.
BUG FIXES
o model.matrix.mppm
If the model was fitted using 'gam', the resulting matrix
did not have an 'assign' attribute.
Fixed.
o model.depends
Crashed for models fitted using 'gam'.
Fixed.
o predict.slrm, fitted.slrm
Crashed if the model was fitted using split pixels (argument 'splitby').
Fixed.
o predict.slrm, fitted.slrm
Crashed in some cases when 'window' was given.
Fixed.
o update.slrm
Failed to find covariates that were provided in 'env'.
Fixed.
o cdf.test
Crashed if the covariate was constant.
Fixed.
CHANGES IN spatstat.core VERSION 2.0-0
OVERVIEW
o We thank Tilman Davies, Greg McSwiggan and Suman Rakshit
for contributions.
o Diffusion kernel smoothing.
o More support for spatial logistic regression models.
NEW FUNCTIONS
o densityHeat, densityHeat.ppp
Given a point pattern, compute the diffusion kernel estimate
of point process intensity. This is an alternative to density.ppp.
SIGNIFICANT USER-VISIBLE CHANGES
o slrm
'step' can now be applied to models fitted using 'slrm'.
CHANGES IN spatstat.core VERSION 1.65-11
OVERVIEW
o Internal tweaks.
CHANGES IN spatstat.core VERSION 1.65-10
OVERVIEW
o Minor corrections to documentation.
CHANGES IN spatstat.core VERSION 1.65-9
OVERVIEW
o We thank Ian Buller for a suggestion.
o weights permitted in density calculation for line segments.
SIGNIFICANT USER-VISIBLE CHANGES
o density.psp
New argument 'weights'.
CHANGES IN spatstat.core VERSION 1.65-8
OVERVIEW
o Minor changes to appease the compiler.
CHANGES IN spatstat.core VERSION 1.65-7
OVERVIEW
o We thank Michael Chirico for a contribution.
o Minor changes to appease the compiler.
CHANGES IN spatstat.core VERSION 1.65-6
OVERVIEW
o We thank Tilman Davies and Pavel Fibich for contributions.
o Important bug fix in simulation of log-Gaussian Cox processes.
o Increased speed for large datasets.
o variance calculations handle larger datasets.
SIGNIFICANT USER-VISIBLE CHANGES
o vcov.ppm, summary.ppm
Variance calculations now handle larger datasets
(using sparse arrays).
o rSSI
Accelerated.
o overall speed
Changes have been made to the internal code of spatstat
which should accelerate computations involving large datasets.
o localpcf, localpcfinhom
New argument 'rvalue'.
BUG FIXES
o rLGCP, simulate.kppm
Simulation results for log-Gaussian Cox processes were incorrect
unless the pixel dimensions and pixel spacings were identical
on the horizontal and vertical axes. (If pixel dimensions were not
specified, then the results were incorrect whenever the Frame of the
simulation window was not a square.)
[Spotted by Tilman Davies.]
Fixed.
o Vmark
Crashed if normalise=TRUE when there was only one column of marks.
(Spotted by Pavel Fibich.)
Fixed.
o nnclean
Crashed if k >= npoints(X).
Fixed.
o print.ppm
Crashed sometimes when applied to the result of subfits().
Fixed.
CHANGES IN spatstat.core VERSION 1.65-5
OVERVIEW
o Minor changes required by CRAN.
CHANGES IN spatstat.core VERSION 1.65-1
OVERVIEW
o Added NEWS file.
CHANGES IN spatstat.core VERSION 1.65-0
OVERVIEW
o Package initialised at version 1.65-0
SIGNIFICANT USER-VISIBLE CHANGES
o spatstat.core
The package 'spatstat.core' has been created from a subset
of the code in the original 'spatstat' package version 1.65-0.
It contains the core functionality for statistical analysis of
spatial data. For an overview, see help("spatstat.core-package")
o Execution
The 'spatstat.core' package is slightly faster than the corresponding
code in the 'spatstat' package, because the procedure for calling
internal C functions has been streamlined.