Objective Bayes species richness estimate with the Negative Binomial model

objective_bayes_negbin(
  data,
  output = TRUE,
  plot = TRUE,
  answers = FALSE,
  tau = 10,
  burn.in = 1000,
  iterations = 5000,
  Metropolis.stdev.N = 100,
  Metropolis.start.T1 = -0.8,
  Metropolis.stdev.T1 = 0.01,
  Metropolis.start.T2 = 0.8,
  Metropolis.stdev.T2 = 0.01,
  bars = 5
)

Arguments

data

TODO(Kathryn)

output

TODO(Kathryn)

plot

TODO(Kathryn)

answers

TODO(Kathryn)

tau

TODO(Kathryn)

burn.in

TODO(Kathryn)

iterations

TODO(Kathryn)

Metropolis.stdev.N

TODO(Kathryn)

Metropolis.start.T1

TODO(Kathryn)

Metropolis.stdev.T1

TODO(Kathryn)

Metropolis.start.T2

TODO(Kathryn)

Metropolis.stdev.T2

TODO(Kathryn)

bars

TODO(Kathryn)