samplers: Graph samplers using edge distributions
In astamm/nevada: Network-Valued Data Analysis

samplers

R Documentation

Graph samplers using edge distributions

Description

A collection of functions to generate random graphs with specified edge distribution.

Usage

play_poisson(num_vertices, lambda = 1, directed = FALSE, loops = FALSE)

rpois_network(n, num_vertices, lambda = 1, directed = FALSE, loops = FALSE)

play_exponential(num_vertices, rate = 1, directed = FALSE, loops = FALSE)

rexp_network(n, num_vertices, rate = 1, directed = FALSE, loops = FALSE)

play_binomial(
  num_vertices,
  size = 1,
  prob = 0.5,
  directed = FALSE,
  loops = FALSE
)

rbinom_network(
  n,
  num_vertices,
  size = 1,
  prob = 0.5,
  directed = FALSE,
  loops = FALSE
)

Arguments

`num_vertices`	Number of vertices.
`lambda`	The mean parameter for the Poisson distribution (default: 1).
`directed`	A boolean specifying whether to generate directed or undirected graphs. Defaults to `FALSE`.
`loops`	A boolean specifying whether loops are authorized. Defaults to `FALSE`.
`n`	Sample size.
`rate`	The rate parameter for the exponential distribution (default: 1).
`size`	The number of trials for the binomial distribution (default: 1).
`prob`	The probability of success on each trial for the binomial distribution (default: 0.5).