sppmix swMATH ID: 27844 Software Authors: Jiaxun Chen; Athanasios (Sakis) Christou Micheas Description: R package sppmix: Modeling Spatial Poisson and Related Point Processes. Implements classes and methods for modeling spatial point patterns using inhomogeneous Poisson point processes, where the intensity surface is assumed to be analogous to a finite additive mixture of normal components and the number of components is a finite, fixed or random integer. Extensions to the marked inhomogeneous Poisson point processes case are also presented. We provide an extensive suite of R functions that can be used to simulate, visualize and model point patterns, estimate the parameters of the models, assess convergence of the algorithms and perform model selection and checking in the proposed modeling context. Homepage: https://cran.r-project.org/web/packages/sppmix/index.html Source Code: https://github.com/cran/sppmix Dependencies: R Related Software: lgcp; RcppArmadillo; Rcpp; fields; INLA; R-Geo; ggplot2; spatstat; R Cited in: 1 Publication Standard Articles 1 Publication describing the Software, including 1 Publication in zbMATH Year sppmix: Poisson point process modeling using normal mixture models. Zbl 1417.62009Micheas, Athanasios C.; Chen, Jiaxun 2018 Cited by 2 Authors 1 Chen, Jiaxun 1 Micheas, Athanasios Christou Cited in 1 Serial 1 Computational Statistics Cited in 3 Fields 1 Probability theory and stochastic processes (60-XX) 1 Statistics (62-XX) 1 Numerical analysis (65-XX) Citations by Year