View source: R/richness_objective_bayes.R
objective_bayes_geometric | R Documentation |
Estimate species richness with an objective Bayes method using a geometric model
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 )
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) |
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 |
.
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