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fastRG  

Sample Generalized Random Dot Product Graphs in Linear Time
View on CRAN: Click here


Download and install fastRG package within the R console
Install from CRAN:
install.packages("fastRG")

Install from Github:
library("remotes")
install_github("cran/fastRG")

Install by package version:
library("remotes")
install_version("fastRG", "0.3.2")



Attach the package and use:
library("fastRG")
Maintained by
Alex Hayes
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-02-26
Latest Update: 2023-08-21
Description:
Samples generalized random product graphs, a generalization of a broad class of network models. Given matrices X, S, and Y with with non-negative entries, samples a matrix with expectation X S Y^T and independent Poisson or Bernoulli entries using the fastRG algorithm of Rohe et al. (2017) . The algorithm first samples the number of edges and then puts them down one-by-one. As a result it is O(m) where m is the number of edges, a dramatic improvement over element-wise algorithms that which require O(n^2) operations to sample a random graph, where n is the number of nodes.
How to cite:
Alex Hayes (2021). fastRG: Sample Generalized Random Dot Product Graphs in Linear Time. R package version 0.3.2, https://cran.r-project.org/web/packages/fastRG
Previous versions and publish date:
0.3.0 (2021-02-26 10:40), 0.3.1 (2022-06-30 09:30)
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