objective_bayes_geometric {breakaway}

Estimate species richness with an objective Bayes method using a geometric model

Description

Estimate species richness with an objective Bayes method using a geometric model

Usage

objective_bayes_geometric(
  data,
  output = TRUE,
  plot = TRUE,
  answers = FALSE,
  tau = 10,
  burn.in = 100,
  iterations = 2500,
  Metropolis.stdev.N = 75,
  Metropolis.start.theta = 1,
  Metropolis.stdev.theta = 0.3
)

Arguments

data

TODO(Kathryn)(Kathryn)

output

TODO(Kathryn)(Kathryn)

plot

TODO(Kathryn)(Kathryn)

answers

TODO(Kathryn)(Kathryn)

tau

TODO(Kathryn)

burn.in

TODO(Kathryn)

iterations

TODO(Kathryn)

Metropolis.stdev.N

TODO(Kathryn)

Metropolis.start.theta

TODO(Kathryn)

Metropolis.stdev.theta

TODO(Kathryn)

Value

A list of results, including

est

the median of estimates of N

,

ci

a confidence interval for N

,

mean

the mean of estimates of N

,

semeanest

the standard error of mean estimates

,

dic

the DIC of the model

,

fits

fitted values

, and

diagnostics

model diagonstics

.