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 fix
- 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