Balík: r-cran-spatstat.core (2.4-4-2) [debports]
Odkazy pre r-cran-spatstat.core
Zdroje Debian:
Stiahnuť zdrojový balík :
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Externé zdroje:
- Domovská stránka [cran.r-project.org]
Podobné balíky:
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.
Ostatné balíky súvisiace s balíkom r-cran-spatstat.core
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- dep: libc6 (>= 2.27)
- knižnica GNU C - zdieľané knižnice
tiež virtuálny balík poskytovaný balíkom libc6-udeb
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- dep: r-api-4.0
- virtuálny balík poskytovaný balíkom r-base-core
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- dep: r-base-core (>= 4.2.2.20221110-2)
- jadro GNU R na štatistické výpočty a grafický systém
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- dep: r-cran-abind
- GNU R abind - funkcia na kombináciu viacrozmerných polí
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- dep: r-cran-goftest (>= 1.2-2)
- GNU R Classical Goodness-of-Fit Tests for Univariate Distributions
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- dep: r-cran-matrix
- balík tried GNU R pre husté a riedke matice
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- dep: r-cran-mgcv
- balík GNU R na odhad viacerých parametrov vyhladzovania
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- dep: r-cran-nlme
- balík GNU R na (ne-)lineárne modely zmiešaných efektov
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- dep: r-cran-rpart
- balík GNU R na rekurzívne rozhodovacie a regresné stromy
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- dep: r-cran-spatstat.data (>= 2.1-0)
- datasets for the package r-cran-spatstat
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- dep: r-cran-spatstat.geom (>= 2.4-0)
- GNU R geometrical functionality of the 'spatstat' package
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- dep: r-cran-spatstat.random (>= 2.2-0)
- Random Generation Functionality for the 'spatstat' Family
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- dep: r-cran-spatstat.sparse (>= 2.0-0)
- GNU R sparse three-dimensional arrays and linear algebra utilities
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- dep: r-cran-spatstat.utils (>= 2.3-1)
- GNU R utility functions for r-cran-spatstat
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- dep: r-cran-tensor
- GNU R Tensor product of arrays
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- rec: r-cran-gsl
- GNU R wrapper for the GNU Scientific Library
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- rec: r-cran-locfit
- GNU R local regression, likelihood and density estimation
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- rec: r-cran-maptools
- GNU R Tools for reading and handling spatial objects
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- rec: r-cran-nleqslv
- GNU R package for solving systems of nonlinear equations
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- rec: r-cran-randomfields
- GNU R simulation and analysis of random fields
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- rec: r-cran-randomfieldsutils
- utilities for the simulation and analysis of random fields
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- rec: r-cran-sm
- balík GNU R metód vyhladzovania jadier
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- rec: r-cran-spatial
- balík GNU R na priestorovú štatistiku
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- rec: r-cran-spatstat (>= 2.3-3)
- GNU R Spatial Point Pattern analysis, model-fitting, simulation, tests
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- rec: r-cran-spatstat.linnet
- linear networks functionality of the 'spatstat' family of GNU R
Stiahnuť r-cran-spatstat.core
Architektúra | Veľkosť balíka | Nainštalovaná veľkosť | Súbory |
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riscv64 (neoficiálny port) | 5,818.3 kB | 6,341.0 kB | [zoznam súborov] |