Log message:
(geography/R-spatstat.explore) Updated 3.2.5 to 3.3.3

        CHANGES IN spatstat.explore VERSION 3.3-3

OVERVIEW

    o relative risk estimation using diffusion.

    o smoothing using diffusion.

    o Tweaks to bandwidth selection.

NEW FUNCTIONS

    o relriskHeat, relriskHeat.ppp
    Relative risk estimation using diffusion.

    o blurHeat, blurHeat.im
    Image smoothing using diffusion.

    o SmoothHeat, SmoothHeat.ppp
    Smoothing numerical values observed at points, using diffusion.

    o bw.relriskHeatppp
    Bandwidth selection for relriskHeat.ppp

SIGNIFICANT USER-VISIBLE CHANGES

    o bw.ppl
    Argument 'shortcut' now defaults to TRUE.

        CHANGES IN spatstat.explore VERSION 3.3-2

OVERVIEW

    o Tweaks to documentation.

    o Internal repairs.

    o Internal changes to satisfy package checker.

        CHANGES IN spatstat.explore VERSION 3.3-1

OVERVIEW

    o Internal changes to satisfy package checker.

        CHANGES IN spatstat.explore VERSION 3.3-0

OVERVIEW

    o 'spatstat.explore' now depends on package 'spatstat.univar'.

    o Some functions have been moved to 'spatstat.univar'.

    o Minor improvements.

PACKAGE DEPENDENCE

    o spatstat.explore now depends on the new package 'spatstat.univar'

    o Some functions have been moved
    from 'spatstat.explore' to 'spatstat.univar'.

SIGNIFICANT USER-VISIBLE CHANGES

    o cbind.fv, bind.fv
    Additional arguments may be functions in the R language.

DELETED FUNCTIONS

    o bw.abram
    The generic 'bw.abram' has been moved
    to the new package 'spatstat.univar'.

    o CDF, CDF.density
    The generic 'CDF' and method 'CDF.density' have been moved
    to the new package 'spatstat.univar'.

    o densityAdaptiveKernel
    The generic 'densityAdaptiveKernel' has been moved
    to the new package 'spatstat.univar'.

    o dkernel, pkernel, qkernel, rkernel
    These functions have been moved to the new package 'spatstat.univar'.

    o kernel.factor, kernel.moment, kernel.squint
    These functions have been moved to the new package 'spatstat.univar'.

    o kaplan.meier, reduced.sample, km.rs
    These functions have been moved to the new package 'spatstat.univar'.

    o quantile.density
    This method has been moved to the new package 'spatstat.univar'.

    o stieltjes
    This function has been moved to the new package 'spatstat.univar'.

        CHANGES IN spatstat.explore VERSION 3.2-7

OVERVIEW

    o Bug fixes.

    o Internal improvements.

BUG FIXES

    o SpatialMedian.ppp, SpatialQuantile.ppp
    Argument `sigma' was ignored in some calculations.
    Fixed.

        CHANGES IN spatstat.explore VERSION 3.2-6

OVERVIEW

    o We thank Mohomed Abraj, Marcelino de la Cruz and Stephanie Hogg
      for contributions.

    o Spatially weighted median and quantile of mark values.

    o Adaptive estimation of intensity for split point patterns.

    o Anisotropic bandwidth selection

    o Boyce index.

    o Internal improvements.

    o Bug fixes.

NEW FUNCTIONS

    o SpatialMedian.ppp, SpatialQuantile.ppp
    Spatially weighted median and quantile of mark values of a point pattern.

    o boyce
    Boyce index and continuous Boyce index.

    o densityAdaptiveKernel.splitppp
    A method for 'densityAdaptiveKernel' for split point patterns.

SIGNIFICANT USER-VISIBLE CHANGES

    o bw.ppl
    New argument `varcov1' for anisotropic bandwidth selection.

    o bw.smoothppp
    New argument `varcov1' for anisotropic bandwidth selection.

BUG FIXES

    o studpermu.test
    The code required each group to consist of at least 3 point patterns,
    rather than 2 point patterns (as stated in the documentation).
    Fixed.

    o Jest
    Ignored pixel resolution argument 'eps'.
    Fixed.

    o scanLRTS
    Pixel resolution arguments 'dimyx', 'eps', 'xy' were not correctly handled.
    Fixed.

Log message:
(geography/R-spatstat.explore) import R-spatstat.explore-3.2.5

Functionality for exploratory data analysis and nonparametric analysis
of spatial data, mainly spatial point patterns, in the 'spatstat'
family of packages. (Excludes analysis of spatial data on a linear
network, which is covered by the separate package 'spatstat.linnet'.)
Methods include quadrat counts, K-functions and their simulation
envelopes, nearest neighbour distance and empty space statistics, Fry
plots, pair correlation function, kernel smoothed intensity, relative
risk estimation with cross-validated bandwidth selection, mark
correlation functions, segregation indices, mark dependence
diagnostics, and kernel estimates of covariate effects. Formal
hypothesis tests of random pattern (chi-squared, Kolmogorov-Smirnov,
Monte Carlo, Diggle-Cressie-Loosmore-Ford, Dao-Genton, two-stage Monte
Carlo) and tests for covariate effects (Cox-Berman-Waller-Lawson,
Kolmogorov-Smirnov, ANOVA) are also supported.