In role-model/roleR: Rules of Life Engine

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  eval = FALSE
)

Installation and setup

library(roleR)
set.seed(1)

Components of a roleModel workflow

Basic workflow

# set-up parameters
p <- roleParams(
  individuals_local = 1000,
  individuals_meta = 10000,
  species_meta = 50,
  speciation_local = 0.5,
  speciation_meta = 1,
  extinction_meta = 0.8,
  trait_sigma = 2,
  env_sigma = 1,
  comp_sigma = 1,
  dispersal_prob = 0.5,
  mutation_rate = 0.01,
  equilib_escape = 1,
  num_basepairs = 250,
  init_type = 'oceanic_island',
  niter = 1000,
  niterTimestep = 100
)

# initialize the model
m <- roleModel(p)

# run the model
m <- runRole(m)

# get results
getSumStats(m, list(rich = richness, hill = hillAbund))

Setting parameters

Initializing a roleModel

Running a roleModel

RoLE Experiments

Calculating summary statistics

Analyzing output (machine learning?)

role-model/roleR documentation built on April 3, 2025, 1:06 p.m.