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fastRG
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]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.fastRG . https://github.com/RoheLab/fastRG/issues . https://rohelab.github.io/fastRG/ . https://github.com/RoheLab/fastRG . fastRG results . fastRG.pdf . fastRG_0.3.2.tar.gz . fastRG_0.3.2.zip . fastRG_0.3.2.zip . fastRG_0.3.2.zip . fastRG_0.3.2.tgz . fastRG_0.3.2.tgz . fastRG_0.3.2.tgz . fastRG_0.3.2.tgz . fastRG archive . https://CRAN.R-project.org/package=fastRG .
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. Accessed 01 May. 2025.
Other packages that cited fastRG R package
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Other R packages that fastRG depends,
imports, suggests or enhances
Complete documentation for fastRG
Functions, R codes and Examples using
the fastRG R package
Some associated functions: chung_lu . dcsbm . directed_dcsbm . directed_erdos_renyi . directed_factor_model . eigs_sym.undirected_factor_model . erdos_renyi . expectation . expected_edges . mmsbm . overlapping_sbm . planted_partition . plot_expectation . reexports . sample_edgelist.matrix . sample_edgelist . sample_igraph . sample_sparse . sample_tidygraph . sbm . svds.directed_factor_model . svds.undirected_factor_model . undirected_factor_model .
Some associated R codes: directed_dcsbm.R . directed_erdos_renyi.R . directed_factor_model.R . expected-degrees.R . expected-spectra.R . fastRG-package.R . plotting.R . sample_edgelist.R . sample_igraph.R . sample_sparse.R . sample_tidygraph.R . undirected_chung_lu.R . undirected_dcsbm.R . undirected_erdos_renyi.R . undirected_factor_model.R . undirected_mmsbm.R . undirected_overlapping_sbm.R . undirected_planted_partition.R . undirected_sbm.R . utils.R . Full fastRG package functions and examples
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