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NEWS

• Extended GoFtest() following Myllymäki et al. (2015).

• parallelized xxxEnvelope code.
• improved the estimation of the g function in ghat():
  • bandwidth selection now follows exactly Stoyan and Stoyan, 1994.
  • the max distance is no longer censored, for consistency with other functions.
  • the estimation was not correct at last distances.
• allowed setting the precision of simulated coordinates in gEnvelope().
• sorted point types in decreasing order of abundances in autoplot.wmppp().
• avoided accessing ppp objects’ marks directly.
• cleaned up the code

• pkgdown site declared in DESCRIPTION URL.
• figure width is set to 5cm in the vignette to make the figures readable.

• NAMESPACE cleaned up.

• Smooth.wmppp() smooths wmppp’s to map individual values of functions such as \(M\) in the neighborhood of points.

• C code cleaned up.

• Dhat() code modified according to spatstat.explore v.3.2-1 new features (thanks to Prof. Adrian Baddeley).

• kwmppp() creates a kriged, weighted, marked, planar point pattern to map individual distance-based statistics.
• plot.kwmppp() (called as plot()) allows plotting kwmppp objects.
• argument verbose in all envelope functions allows to hide the progress of simulations.

• Ktest() automatically drops 0 in r to avoid an obscure error message.

• Updates in the spatstat package: dbmss has been updated to address the replacement of spatstat.core.

• dbmss no longer depends on ggplot2.
• Deprecated aes_(x=~var) aesthetics in ggplots replaced by aes(x=.data$var).
• documentation improvements.

• The new package spatstat.random is now imported.

• Following R fixed bug PR#18151, mhat() code is modified by Martin Maechler.

• An error occurred when a function was called with dbmss:: prefix and CheckArguments = TRUE and dbmss was loaded.

• fmla argument added in autoplot.envelope().
• autoplot.fv() added.
• autoplot.wmppp() added.
• CodeFactor optimization applied.
• Suggests rmarkdown (https://github.com/yihui/knitr/issues/1864)

• Continuous integration by GitHub Actions.

• Updates in the spatstat package: dbmss has been updated to address the creation of spatstat.core et al.

• argument main in autoplot() was ignored.

• tibbles are accepted by wmppp().
• Precision of point coordinates can be set in rRandomPositionK().

• autoplot() failed with Lenvelope objects.

• autoplot() for envelope objects.
• Vignettes by pkgdown
• Better consistency of bandwidth choice in Kd and m estimation. An article is added in the online documentation.

• Fewer imported functions in NAMESPACE.

• Kdhat() density was normalized incorrectly with Approximate=TRUE and small r values.

• More robust check of arguments.
• Rcpp >= 0.12.14 required. init.c no longer necessary.
• Introduction vignette.
• On Travis and codecov.io now.
• NEWS in Markdown.
• wmppp() accepts characters in PointType. A PointName column is searched to set the row names of the marks.

• wmppp() failed if some point laid outside the window.

• On GitHub now.
• Individual values of m and M available from Mhat and mhat with argument Individual.
• Point names can be specified as row names of the dataframe passed to wmppp(). They are preserved in the fv object returned by individual Mhat and mhat to identify points more easily.

• Far less memory is used to compute M and approximated m functions. The ratio of necessary memory equals that of the number of reference points to the total number of points.
• [.wmppp function added to spatstat generics

• Declaration of the required versions of R and spatstat in DESCRIPTION to avoid error in CRAN test on oldrel Windows platform.

• Updates in the spatstat package: dbmss has been updated to address the creation of spatstat.util.

• C routines registration to comply with R 3.4 policy.
• Explicit export of all non-internal functions instead of exportPattern("^[[:alpha:]]+").
• Import of package cubature reduced to function adaptIntegrate().

• Enforcement of the use of C++11 to avoid warnings due to RcppParallel.

• Distance matrices can be used instead of point patterns in Mhat, mhat and Kdhat and their envelopes.
• The estimation of density used by Kd now includes reflection: the estimation of Kd is more accurate than before, but values may vary from previous versions close to the minimum distance.
• LazyData is used to save memory.

• Weighted argument was ignored in Kdhat (bug introduced in v.2.2-4). Fixed.

• Mhat and mhat C++ code is now parallelized thanks to RcppParallel.
• Small performance improvement of Kdhat (around 5% faster).

• Updated CITATION: the paper about this package has been published: Eric Marcon, Stephane Traissac, Florence Puech, Gabriel Lang (2015). Tools to Characterize Point Patterns: dbmss for R. Journal of Statistical Software, 67(3), 1-15.

• Intervals of estimation of the Kd function are narrower when the distance range is small with respect to the window to improve precision.

• Distances pairs more than twice the maximum value of r where ignored when using the approximate estimation of Kd, so Kd was overestimated when r was smaller than usual (much less than the default values). Corrected.

• Adjust argument ignored in Kdhat. Fixed.

• m function added.
• Default value Controls=NULL for Dhat: controls are by default all points except for cases.
• Kd and m are both computed by default up to one third of the diameter of the window, other options are added.
• Original and Adjust arguments allow to change the default bandwith used by Kd and m.

• Typo in internal function name FillEnveloppe corrected: FillEnvelope is the new name.

• Default neighbor type for Khat and Kenvelope is the same as reference type instead of ““.
• Kd estimation now accepts “” as reference type to use all points.
• Approximate argument to calculate Kd on big data sets with little RAM.

• FillEnvelope returned wrong quantiles for local confidence intervals. Fixed.

• Global confidence intervals are now defined even when NA values are found in the simulations.
• Kd is computed by default up to the median (instead of mean) distance between points.

• Kdhat with Reference and Neighbor points of different types was calculated with only half of point pairs and sometimes crashed R. Fixed.

• Kdhat and M are computed through C++ loops instead of spatstat pairdist(). Much faster, and uses far less memory.

• Kdhat and M propose a default value for argument r.
• Vignette added.

• Kdhat probability density estimation is cut at the lowest distance between points instead of 0.

• Kdhat with Reference and Neighbor points of the same type and Weighted=TRUE returned an error. Fixed.

• Minor corrections, mainly comments and formating.

• Most code rewritten.

• Names of functions X.r became Xhat.
• Point patterns are now of class wmppp.
• Results are of class fv, envelopes of class envelope.

• NEWS file added.

• Documentation format improved.

• The default behavior of Kd is that of Duranton and Overman (2005). An optional parameter is added to used improved bandwith selection.

• The density estimation of Kd was run twice. Fixed.

• First version on CRAN. Versions 1.2.2 and 1.2.3 contain faster examples to follow CRAN requirements.

• Kinhom function added.

• First version.

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