Пакунок: r-cran-spatstat.model (3.2-1-1)

[ Source: r-cran-spatstat.model  ]

GNU R parametric statistical modelling for the 'spatstat' family

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.

Інші пакунки пов'язані з r-cran-spatstat.model

• dep: r-api-4.0

  virtual package provided by r-base-core

• dep: r-base-core (>= 4.2.2.20221110-2)

  GNU R core of statistical computation and graphics system

• dep: r-cran-abind

  GNU R abind multi-dimensional array combination function

• dep: r-cran-goftest (>= 1.2-2)

  GNU R Classical Goodness-of-Fit Tests for Univariate Distributions

• dep: r-cran-matrix

  GNU R package of classes for dense and sparse matrices

• dep: r-cran-mgcv

  GNU R package for multiple parameter smoothing estimation

• dep: r-cran-nlme

  GNU R package for (non-)linear mixed effects models

• dep: r-cran-rpart

  GNU R package for recursive partitioning and regression trees

• dep: r-cran-spatstat.data (>= 3.0)

  datasets for the package r-cran-spatstat

• dep: r-cran-spatstat.explore (>= 3.0)

  GNU R exploratory data analysis for the 'spatstat' family

• dep: r-cran-spatstat.geom (>= 3.0-5)

  GNU R geometrical functionality of the 'spatstat' package

• dep: r-cran-spatstat.random (>= 3.1-3)

  Random Generation Functionality for the 'spatstat' Family

• dep: r-cran-spatstat.sparse (>= 3.0)

  GNU R sparse three-dimensional arrays and linear algebra utilities

• dep: r-cran-spatstat.utils (>= 3.0)

  GNU R utility functions for r-cran-spatstat

• dep: r-cran-tensor

  GNU R Tensor product of arrays

• sug: r-cran-glmnet

  Lasso and Elastic-Net Regularized Generalized Linear Models

• sug: r-cran-gsl

  GNU R wrapper for the GNU Scientific Library

• sug: r-cran-locfit

  GNU R local regression, likelihood and density estimation

• sug: r-cran-maptools (>= 0.9-9)

  GNU R Tools for reading and handling spatial objects

• sug: r-cran-nleqslv

  GNU R package for solving systems of nonlinear equations

• sug: r-cran-randomfields (>= 3.1.24.1)

  GNU R simulation and analysis of random fields

• sug: r-cran-randomfieldsutils (>= 0.3.3.1)

  utilities for the simulation and analysis of random fields

• sug: r-cran-sm

  GNU R package for kernel smoothing methods

• sug: r-cran-spatial

  GNU R package for spatial statistics

• sug: r-cran-spatstat (>= 3.0)

  GNU R Spatial Point Pattern analysis, model-fitting, simulation, tests

• sug: r-cran-spatstat.linnet (>= 3.0)

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

Завантажити r-cran-spatstat.model

Завантаження для всіх доступних архітектур

Архітектура	Розмір пакунка	Розмір після встановлення	Файли
mips64el	3,232.7 kB	3,610.0 kB	[список файлів]