richness: Estimate posterior distributions of site richness
In unmarked: Models for Data from Unmarked Animals
richness R Documentation
Estimate posterior distributions of site richness
Description
Estimate posterior distributions of site richness from a fitted community occupancy
model using empirical Bayes methods. This function uses ranef
and posteriorSamples internally.
Usage
## S4 method for signature 'unmarkedFitOccuComm'
richness(object, nsims=100, posterior=FALSE)
Arguments
object
A unmarkedFitOccuComm object.
nsims
Number of posterior samples to generate.
posterior
Logical. If FALSE mean estimates for each site are
returned; if TRUE the entire posterior for each site is returned.
Author(s)
Ken Kellner contact@kenkellner.com
See Also
occuComm, ranef, posteriorSamples
unmarked documentation built on April 3, 2025, 5:30 p.m.
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| richness | R Documentation |
Estimate posterior distributions of site richness
Description
Estimate posterior distributions of site richness from a fitted community occupancy
model using empirical Bayes methods. This function uses ranef
and posteriorSamples internally.
Usage
## S4 method for signature 'unmarkedFitOccuComm'
richness(object, nsims=100, posterior=FALSE)
Arguments
object |
A |
nsims |
Number of posterior samples to generate. |
posterior |
Logical. If |
Author(s)
Ken Kellner contact@kenkellner.com
See Also
occuComm, ranef, posteriorSamples
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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