dbmss 2.9-2
Improvements
- pkgdown site declared in DESCRIPTION URL.
- figure width is set to 5cm in the vignette to make the figures
readable.
dbmss 2.9-0
Improvements
Significant user-visible
changes
Smooth.wmppp() smooths wmppp’s to map individual values
of functions such as \(M\) in the
neighborhood of points.
dbmss 2.8-2
Improvements
External changes
Dhat() code modified according to
spatstat.explore v.3.2-1 new features (thanks to Prof. Adrian
Baddeley).
dbmss 2.8-0
Significant user-visible
changes
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.
dbmss 2.7-11
Improvements
Ktest() automatically drops 0 in r to
avoid an obscure error message.
External changes
- Updates in the spatstat package: dbmss has been
updated to address the replacement of spatstat.core.
dbmss 2.7-10
Improvements
- dbmss no longer depends on ggplot2.
- Deprecated
aes_(x=~var) aesthetics in ggplots replaced
by aes(x=.data$var).
- documentation improvements.
dbmss 2.7-8
External changes
- The new package spatstat.random is now imported.
dbmss 2.7-7
External changes
- Following R fixed bug PR#18151,
mhat() code is modified by Martin Maechler.
dbmss 2.7-6
Bug correction
- An error occurred when a function was called with
dbmss:: prefix and CheckArguments = TRUE and
dbmss was loaded.
dbmss 2.7-5
Improvements
fmla argument added in
autoplot.envelope().autoplot.fv() added.autoplot.wmppp() added.- CodeFactor optimization applied.
- Suggests rmarkdown (https://github.com/yihui/knitr/issues/1864)
dbmss 2.7-4
Improvements
- Continuous integration by GitHub Actions.
External changes
- Updates in the spatstat package: dbmss has been
updated to address the creation of spatstat.core et al.
dbmss 2.7-3
Bug fixes
- argument
main in autoplot() was
ignored.
dbmss 2.7-1
Improvements
- tibbles are accepted by
wmppp().
- Precision of point coordinates can be set in
rRandomPositionK().
Bug fixes
autoplot() failed with Lenvelope
objects.
dbmss 2.7-0
Improvements
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.
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
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
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.
dbmss 1.2-1
Overview
dbmss 1.1
Overview