brnet: Generate a random branching network

In aterui/mcbrnet: Ecological simulation in spatial networks

Generate a random branching network

Description

Generate a random branching network

Usage

brnet(
  n_patch = 50,
  p_branch = 0.5,
  mean_env_source = 0,
  sd_env_source = 1,
  rho = 1,
  sd_env_lon = 0.1,
  mean_disturb_source = 0.9,
  sd_disturb_source = 1,
  sd_disturb_lon = 0.1,
  randomize_patch = TRUE,
  n_patch_free = FALSE
)

Arguments

n_patch	Number of patches in a network.
p_branch	Branching probability (success probability of a geometric distribution).
mean_env_source	Mean value of environmental condition at upstream origins of water.
sd_env_source	SD of environmental condition at upstream origins of water.
rho	Strength of spatial autocorrelation in environmental condition.
sd_env_lon	SD of longitudinal environmental noise. The SD is defined in a logit scale with a normal distribution.
mean_disturb_source	Mean disturbance strength at upstream origins of water. The value represents the proportional mortality (0 - 1.0).
sd_disturb_source	SD of disturbance strength at upstream origins of water. The SD is defined in a logit scale with a normal distribution.
sd_disturb_lon	SD of longitudinal noise of disturbance strength. The SD is defined in a logit scale with a normal distribution.
randomize_patch	Logical indicating whether patches are randomized or not. If FALSE, the function may generate a topologically-biased network. Default TRUE.
n_patch_free	Logical indicating whether imposing a constraint on n_patch or not. If TRUE, the number of patches is a random variable following a negative binomial distribution.

Reference

see package webpage for instruction

Author(s)

Akira Terui, [e-mail]

Examples

## Not run: 
# not run
brnet(n_patch = 10, p_branch = 0.5)

## End(Not run)

aterui/mcbrnet documentation built on Nov. 14, 2024, 3:14 a.m.