ABM: Agent-based model

In masonyoungblood/TransmissionBias: An Agent-Based Model of Cultural Transmission

Description

An agent-based model of cultural transmission that incorporates content bias, frequency bias, and demonstrator bias, as well as changes in population size.

Usage

ABM(
  priors,
  surv = 0.5,
  pop_trends,
  obs_years,
  obs_n,
  rep_m,
  rep_sd,
  males_only = TRUE,
  burn = 100,
  n_iter = 100,
  n_cores = 4
)

Arguments

priors	A dataframe of priors with the follow columns: ini_pop, ini_syls, innov, dem, p_att, a, v. Each row corresponds to an iteration of the model.
surv	Average overwinter survival.
pop_trends	A vector of populations trends.
obs_years	Years with observed data.
obs_n	Sample size in years with observed data.
rep_m	Mean repertoire size across observed dataset.
rep_sd	Standard deviation of repertoire size across observed dataset.
males_only	Whether only males are included in simulation (TRUE/FALSE).
burn	Length of burn-in phase.
n_iter	Number of iterations.
n_cores	Number of cores used in the learning step. For large population and repertoire sizes it may be faster to run the ABM function serially (n_cores = 1) in a parallelized for loop.

Value

Returns a list of two matrices: (1) the Simpson's diversity from each burn-in year (column) and iteration (row); (2) the summary statistics corresponding to each observed year (subsequent columns) and iteration (row). The returned summary statistics are the proportion of syllables that only appear once, the proportion of the most common syllable type, the number of syllable types, Simpson's diversity index, Shannon's diversity index, Pielou's evenness index, and the exponent of the fitted power-law function to the progeny distribution.

masonyoungblood/TransmissionBias documentation built on Sept. 22, 2021, 1:11 p.m.