optimal.prob: Returns an estimate of the fundamental biodiversity number

Description Usage Arguments Note Author(s) See Also Examples

Description

Returns a maximum likelihood estimate for the fundamental biodiversity number theta (function optimal.theta()) or the probability of mutation (function optimal.prob()) and optionally return information about the likely error

Usage

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optimal.prob(x,  interval=NULL, N=NULL, like=NULL, ...)
optimal.theta(x, interval=NULL, N=NULL, like=NULL, ...)

Arguments

x

Ecosystem vector or species count table

interval

Bracketing interval for probability of mutation to be passed to the optimization routine (here optimize()). Default of NULL means to use a wide interval. Note that this argument is interpreted as an interval of theta for both optimal.prob() and optimal.theta().

N

Integer; the number of parametric resampled estimates to give. Default of NULL means to return just the maximum likelihood estimate

like

Units of likelihood to calculate credible interval. Edwards recommends using 2

...

Further arguments passed to optimize()

Note

The fundamental biodiversity parameter theta is 2*nu*J, where nu is the probability of mutation (ie, as estimated by optimal.prob()), and J is the size of the ecosystem.

For the general case of dispersal limitation, see functions etienne() and optimal.params().

Author(s)

Robin K. S. Hankin

See Also

etienne,optimal.params.sloss,optimal.params.gst

Examples

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untb documentation built on March 19, 2018, 9:03 a.m.