Better consistency of bandwidth choice in Kd and m estimation. An article is added in the online documentation.
Internal changes
Fewer imported functions in NAMESPACE.
Bug fixes
Kdhat() density was normalized incorrectly with Approximate=TRUE and small r values.
dbmss 2.6-3
CRAN release: 2018-03-19
Improvements
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.
Bug fixes
wmppp() failed if some point laid outside the window.
dbmss 2.5-1
CRAN release: 2017-11-28
New features
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.
Improvements
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
dbmss 2.4-1
Improvements
Declaration of the required versions of R and spatstat in DESCRIPTION to avoid error in CRAN test on oldrel Windows platform.
dbmss 2.4-0
CRAN release: 2017-03-26
External changes
Updates in the spatstat package: dbmss has been updated to address the creation of spatstat.util.
Internal changes
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().
dbmss 2.3-0
CRAN release: 2016-09-19
Internal changes
Enforcement of the use of C++11 to avoid warnings due to RcppParallel.
dbmss 2.2-5
CRAN release: 2016-06-30
Significant user-visible changes
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.
Bug fixes
Weighted argument was ignored in Kdhat (bug introduced in v.2.2-4). Fixed.
dbmss 2.2-4
CRAN release: 2015-12-10
Significant user-visible changes
Mhat and mhat C++ code is now parallelized thanks to RcppParallel.
Small performance improvement of Kdhat (around 5% faster).
dbmss 2.2-3
Significant user-visible changes
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.
dbmss 2.2-2
Minor change
Intervals of estimation of the Kd function are narrower when the distance range is small with respect to the window to improve precision.
Bug fixes
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.
dbmss 2.2-1
Bug fixes
Adjust argument ignored in Kdhat. Fixed.
dbmss 2.2-0
Significant user-visible changes
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.
Minor change
Typo in internal function name FillEnveloppe corrected: FillEnvelope is the new name.
dbmss 2.1-2
Significant user-visible changes
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.
Bug fixes
FillEnvelope returned wrong quantiles for local confidence intervals. Fixed.
dbmss 2.1-1
Significant user-visible changes
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.
Bug fixes
Kdhat with Reference and Neighbor points of different types was calculated with only half of point pairs and sometimes crashed R. Fixed.
dbmss 2.1-0
Significant user-visible changes
Kdhat and M are computed through C++ loops instead of spatstat pairdist(). Much faster, and uses far less memory.
dbmss 2.0-6
Significant user-visible changes
Kdhat and M propose a default value for argument r.
Vignette added.
Minor change
Kdhat probability density estimation is cut at the lowest distance between points instead of 0.
dbmss 2.0-5
Bug fixes
Kdhat with Reference and Neighbor points of the same type and Weighted=TRUE returned an error. Fixed.
dbmss 2.0-3
Overview
Minor corrections, mainly comments and formating.
dbmss 2.0-0
Overview
Most code rewritten.
Significant user-visible changes
Names of functions X.r became Xhat.
Point patterns are now of class wmppp.
Results are of class fv, envelopes of class envelope.
dbmss 1.2-5
Overview
NEWS file added.
dbmss 1.2-4
Overview
Documentation format improved.
Significant user-visible changes
The default behavior of Kd is that of Duranton and Overman (2005). An optional parameter is added to used improved bandwith selection.
Bug fixes
The density estimation of Kd was run twice. Fixed.
dbmss 1.2-3
## Overview
First version on CRAN. Versions 1.2.2 and 1.2.3 contain faster examples to follow CRAN requirements.
