two_geometric_model: Two-component geometric mixture model for estimating species...
In statdivlab/CatchMore: Species Richness estimation with CatchAll
Description
Usage
Arguments
Value
Examples
Description
This function implements the species richness estimation with a two-component mixture
exponential-mixed Poisson model (or three-component mixture exponential-mixed geometric model)
for estimating species richness
Usage
1
two_geometric_model(input_data, cutoff = 10, ...)
Arguments
input_data
An input type that can be processed by convert()
cutoff
Maximal frequency count of the data used to estimating the species richness. Default 10.
Value
An object of class alpha_estimate
Examples
1
2
3
library(breakaway)
data(apples)
two_geometric_model(apples, cutoff = 40)
statdivlab/CatchMore documentation built on May 8, 2019, 8:12 a.m.
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Description Usage Arguments Value Examples
Description
This function implements the species richness estimation with a two-component mixture exponential-mixed Poisson model (or three-component mixture exponential-mixed geometric model) for estimating species richness
Usage
1 | two_geometric_model(input_data, cutoff = 10, ...)
|
Arguments
input_data |
An input type that can be processed by convert() |
cutoff |
Maximal frequency count of the data used to estimating the species richness. Default 10. |
Value
An object of class alpha_estimate
Examples
1 2 3 | library(breakaway)
data(apples)
two_geometric_model(apples, cutoff = 40)
|
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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