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
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
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
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
Internal changes
Enforcement of the use of C++11 to avoid warnings due to
RcppParallel.
dbmss 2.2-5
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
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.