This package was removed from CRAN on 2022-12-12. Its history is shown below.

Reason: the request of the maintainers

Details below reflect version 2.4-4, its last release before removal.

spatstat.core

2.4-4

Core Functionality of the 'spatstat' Family

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–test coverage

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Overview

About

Maintained by Adrian Baddeley11 releasesCRAN page ↗

Functionality for data analysis and modelling 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'.) Exploratory 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. Parametric models can be fitted to point pattern data using the functions ppm(), kppm(), slrm(), dppm() similar to glm(). Types of models include Poisson, Gibbs and Cox point processes, Neyman-Scott cluster processes, and determinantal point processes. Models may involve dependence on covariates, inter-point interaction, cluster formation and dependence on marks. Models are fitted by maximum likelihood, logistic regression, minimum contrast, and composite likelihood methods. A model can be fitted to a list of point patterns (replicated point pattern data) using the function mppm(). The model can include random effects and fixed effects depending on the experimental design, in addition to all the features listed above. Fitted point process models can be simulated, automatically. Formal hypothesis tests of a fitted model are supported (likelihood ratio test, analysis of deviance, Monte Carlo tests) along with basic tools for model selection (stepwise(), AIC()) and variable selection (sdr). Tools for validating the fitted model include simulation envelopes, residuals, residual plots and Q-Q plots, leverage and influence diagnostics, partial residuals, and added variable plots.

Install

R (source archive)Ubuntu (r2u)openSUSE (OBS)

url <- "https://cran.r-project.org/src/contrib/Archive/spatstat.core/spatstat.core_2.4-4.tar.gz"
pkgFile <- "spatstat.core_2.4-4.tar.gz"
download.file(url, pkgFile)
install.packages(pkgFile, type = "source", repos = NULL)

This package is no longer on CRAN, so install.packages() cannot fetch it by name. This downloads the last archived source (2.4-4) and builds it locally. Install its dependencies first, and note that building from source needs the usual compiler toolchain.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-spatstat.core

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-spatstat.core

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

CRAN check results are not tracked yet.

Code health

Yes

Tests · ratio 0.08

not tracked

Coverage

100%

Documentation · exports

Dependencies · direct

Documentation

READMENoVignettesNopkgdown siteNoNEWSYes · 0% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 89%
Return-value docs: 100%
References docs: 48%

Downloads

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Compare downloads with other packages →

Also on501 r2u4 autocran11.2K conda_forge158 c2d4u

Dependencies

Declared dependencies

18 external dependencies (excludes base and recommended)

Depends (11)

R >= 3.5.0spatstat.data spatstat.geom (>= 2.4-0)spatstat.randomstatsgraphicsgrDevicesutilsmethodsnlmerpart

Imports (7)

spatstat.utils spatstat.sparsemgcvMatrixabind tensor goftest

LinkingTo (0)

none

Suggests (11)

sm maptools gsl locfitspatialRandomFields RandomFieldsUtils fftwtools (>= 0.9-8)nleqslv spatstat.linnet spatstat (>= 2.3-3)

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

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Nothing depends on this yet.

Code & Tests

People & History

People (22)

Maintainer (1)

Adrian Baddeley

Author, Maintainer

Authors (3)

Adrian Baddeley

Author, Maintainer

Rolf Turner

Author

Ege Rubak

Author

Contributors (19)

Kasper Klitgaard Berthelsen

Contributor

Achmad Choiruddin

Contributor · added in 2.1-2

Jean-Francois Coeurjolly

Contributor · added in 2.1-2

Ottmar Cronie

Contributor

Tilman Davies

Contributor

Chiara Fend

Contributor · added in 2.3-0

Julian Gilbey

Contributor · added in 1.65-5

Yongtao Guan

Contributor

Show 11 more contributors

Ute Hahn

Contributor

Kassel Hingee

Contributor · added in 1.65-5

Abdollah Jalilian

Contributor

Frederic Lavancier

Contributor · added in 2.4-2

Marie-Colette van Lieshout

Contributor

Contributor

Contributor

Contributor

Contributor

Rasmus Plenge Waagepetersen

Contributor

Hangsheng Wang

Contributor

Package Timeline

11 releases. Pick two to compare their code metrics. R releases are shown for context.

R
R 4.3.0 released · 2023-04-21
archivedRemoved from CRAN
2022-12-12
the request of the maintainers
2.4-4
2022-05-18 · diff ↗
R
R 4.2.0 released · 2022-04-22
2.4-2
2022-04-01 · diff ↗
2.4-0
2022-02-15 · diff ↗
2.3-2
2021-11-26 · diff ↗
2.3-1
2021-11-02 · diff ↗
2.3-0
2021-07-16 · diff ↗
2.2-0
2021-06-17 · diff ↗
R
R 4.1.0 released · 2021-05-18
2.1-2
2021-04-18 · diff ↗
2.0-0
2021-03-23 · diff ↗
1.65-5
2021-02-01 · diff ↗
1.65-0
2021-01-22
R
R 4.0.0 released · 2020-04-24

Package metadata

Total releases: 11
License: GPL (>= 2) OSI
Minimum R: ≥ 3.5.0
Download size: not tracked yet
Installed size: not tracked yet
With dependencies: not tracked yet

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