Social network analysis is becoming commonplace in many social science disciplines, but access to useful network data, especially among marginalized populations, still remains a formidable challenge. This package mitigates that problem by providing tools to simulate spatial Bernoulli networks as proposed in Carter T. Butts (2002, ISBN:978-0-493-72676-2), "Spatial models of large-scale interpersonal networks." Using this package, network analysts can simulate a spatial point process or sequence with a given number of nodes inside a geographical boundary and estimate the probability of a tie formation between all node pairs. When simulating a network, an analyst can choose between five spatial interaction functions. The package also enables quick comparison of summary statistics for simulated networks and provides simple to use plotting methods for its classes that return plots which can be further refined with the 'ggplot2' package.
Version: 0.2.1 Depends: R (≥ 3.5) Imports: crsuggest, dplyr, ggraph, ggplot2, igraph, magrittr, sf, spatstat.random, spatstat.geom, ggthemes Suggests: covr, testthat (≥ 3.0.0) Published: 2022-04-01 DOI: 10.32614/CRAN.package.spacejamr Author: Darren Colby [aut, cre] Maintainer: Darren Colby <dscolby17 at gmail.com> BugReports: https://github.com/dscolby/spacejamr/issues License: MIT + file LICENSE URL: https://github.com/dscolby/spacejamr NeedsCompilation: no Materials: README, NEWS CRAN checks: spacejamr results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=spacejamr to link to this page.
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