This dataset and associated phylogeny describes the states of political and religious authority in 97 Austronesian societies. These data were originally compiled in Sheehan et al. (2023). Political authority is defined as a right to manage interactions between living human beings, whereas religious authority is defined as a right to manage interactions between living human beings and supernatural agents or powers. Authority is coded as being absent, sublocal (smaller than the local community), local (coextensive with the local community), or supralocal (consisting of more than one local community).

authority

Format

A list containing a dataset, an associated language phylogeny, and an associated distance matrix. The phylogeny is a pruned maximum clade credibility tree for 97 Austronesian languages. The distance matrix is a matrix with distances (in metres) between each of the 97 Austronesian societies. The dataset is a data frame with 97 observations and three variables:

language

The name of the Austronesian language linked to each society

political_authority

An ordered factor indicating whether political authority is absent, sublocal, local, or supralocal in each society

religious_authority

An ordered factor indicating whether religious authority is absent, sublocal, local, or supralocal in each society

Source

Sheehan, O., Watts, J., Gray, R. D., Bulbulia, J., Claessens, S., Ringen, E. J., & Atkinson, Q. D. (2023). Coevolution of religious and political authority in Austronesian societies. Nature Human Behaviour, 7(1), 38-45.

Examples

if (FALSE) { # \dontrun{
# fit model to authority data
m <-
  coev_fit(
    data = authority$data,
    variables = list(
      political_authority = "ordered_logistic",
      religious_authority = "ordered_logistic"
    ),
    id = "language",
    tree = authority$phylogeny,
    # arguments for cmdstanr::sample()
    parallel_chains = 4,
    seed = 1,
    # set prior manually
    prior = list(A_offdiag = "normal(0, 2)")
  )
# print model summary
summary(m)
# plot delta theta
coev_plot_delta_theta(m)
} # }