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spacejamr
View on CRAN: Click
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Download and install spacejamr package within the R console
Install from CRAN:
install.packages("spacejamr")
Install from Github:
library("remotes")
install_github("cran/spacejamr") Install by package version:
library("remotes")
install_version("spacejamr", "0.2.1") Attach the package and use:
library("spacejamr")
Maintained by
Darren Colby
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[Scholar Profile | Author Map]
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First Published: 2021-09-09
Latest Update: 2022-04-01
Description:
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.
How to cite:
Darren Colby (2021). spacejamr: Simulate Spatial Bernoulli Networks. R package version 0.2.1, https://cran.r-project.org/web/packages/spacejamr. Accessed 25 Jun. 2026.
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Complete documentation for spacejamr
Functions, R codes and Examples using
the spacejamr R package
Some associated functions: NetSim . PointSim . RI . as.spacejamr . compare_networks . pipe . plot.NetSim . plot.PointSim . plot.spacejamr . print.NetSim . print.PointSim . print.spacejamr . spacejamr . summary.NetSim . summary.PointSim . summary.spacejamr .
Some associated R codes: NetSim-helpers.R . NetSim.R . PointSim-helpers.R . PointSim.R . compare.R . package.R . ri.R . spacejamr.R . utils-pipe.R . Full spacejamr package functions and examples
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