Package: r-cran-spatstat.core (2.4-4-2) [debports]

Links for r-cran-spatstat.core

Debian Resources:

Bug Reports

Download Source Package :

Not found

Maintainers:

External Resources:

Homepage [cran.r-project.org]

Similar packages:

core functionality of the 'spatstat' family of GNU R packages

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.

Other Packages Related to r-cran-spatstat.core

depends

recommends

suggests

enhances

dep: libc6 (>= 2.27)

GNU C-bibliotek: Delte biblioteker
also a virtual package provided by libc6-udeb
dep: r-api-4.0

virtual package provided by r-base-core
dep: r-base-core (>= 4.2.2.20221110-2)

GNU R-kerne af statistisk beregning og grafiksystem
dep: r-cran-abind

GNU R - abind flerdimensionel array-kombinationsfunktion
dep: r-cran-goftest (>= 1.2-2)

GNU R-klassisk Goodness-of-Fit-test for univariat distributioner
dep: r-cran-matrix

GNU R-pakke til klasser for tætte matricer og matricer med få udfald
dep: r-cran-mgcv

GNU R-pakke til flerparametre udjævningsestimering
dep: r-cran-nlme

GNU R-pakke for (ikke)lineære mixed effects-modeller
dep: r-cran-rpart

GNU R-pakke for rekursiv partitionerings- og regressionstræer
dep: r-cran-spatstat.data (>= 2.1-0)

Datasæt for pakken r-cran-spatstat
dep: r-cran-spatstat.geom (>= 2.4-0)

GNU R-geometrisk funktionalitet for pakken spatstat
dep: r-cran-spatstat.random (>= 2.2-0)

Random Generation Functionality for the 'spatstat' Family
dep: r-cran-spatstat.sparse (>= 2.0-0)

GNU R-tynde tredimensionelle tabeller og lineære algebraredskaber
dep: r-cran-spatstat.utils (>= 2.3-1)

GNU R-redskabsfunktioner for r-crann-spatstat
dep: r-cran-tensor

GNU R Tensor - produkt for tabeller

rec: r-cran-gsl

GNU R-omslag for GNU Scientific Library
rec: r-cran-locfit

GNU R - lokal regression, sandsynlighed og tæthedsestimering
rec: r-cran-maptools

GNU R Tools for reading and handling spatial objects
rec: r-cran-nleqslv

GNU R-pakke til at løse systemer med ikkelineære ligninger
rec: r-cran-randomfields

GNU R-simulering og analyse af vilkårlige felter
rec: r-cran-randomfieldsutils

Redskaber til at simulere og analysere vilkårlige felter
rec: r-cran-sm

GNU R-pakke for kerne smoothing-metoder
rec: r-cran-spatial

GNU R-pakke for spatial statistik
rec: r-cran-spatstat (>= 2.3-3)

GNU R Spatial Point Pattern - analyse, modeltilpasning, simulering, test
rec: r-cran-spatstat.linnet

linear networks functionality of the 'spatstat' family of GNU R

Download r-cran-spatstat.core

Download for all available architectures
Architecture	Package Size	Installed Size	Files
riscv64 (unofficial port)	5,818.3 kB	6,341.0 kB	[list of files]