objective_bayes_negbin {breakaway}

Objective Bayes species richness estimate with the Negative Binomial model

Description

Objective Bayes species richness estimate with the Negative Binomial model

Usage

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)

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

.