all_parametric_model: Multiple parametric models for estimating species richness...
In statdivlab/CatchMore: Species Richness estimation with CatchAll
Description
Usage
Arguments
Value
Examples
Description
This function generates the species richness estimates with Poisson model, geometric model,
two-component geometric mixture model and three-component geometric model.
Usage
1
2
all_parametric_model(input_data, parallel = F, tau_range = NULL,
control = list(ncores = ceiling(detectCores()/2)))
Arguments
input_data
An input type that can be processed by convert()
parallel
A logic scalar that decides whether the richness estimates are computed with parallelization.
Currently an error is returned for Windows.
tau_range
A two-dimensional vector of positive intergers specifing the range of the cutoffs you'd like to vary within
control
A list containing an integer ncores that specifies the number of cores to use
in parallelization when parallel == T
Value
A data frame displaying the point estimates, standard errors, AICc, GOF0 and GOF5 for different
parametric models and cutoffs.
Examples
1
2
3
library(breakaway)
data(apples)
all_parametric_model(apples)
statdivlab/CatchMore documentation built on May 8, 2019, 8:12 a.m.
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Description Usage Arguments Value Examples
Description
This function generates the species richness estimates with Poisson model, geometric model, two-component geometric mixture model and three-component geometric model.
Usage
1 2 | all_parametric_model(input_data, parallel = F, tau_range = NULL,
control = list(ncores = ceiling(detectCores()/2)))
|
Arguments
input_data |
An input type that can be processed by convert() |
parallel |
A logic scalar that decides whether the richness estimates are computed with parallelization. Currently an error is returned for Windows. |
tau_range |
A two-dimensional vector of positive intergers specifing the range of the cutoffs you'd like to vary within |
control |
A list containing an integer |
Value
A data frame displaying the point estimates, standard errors, AICc, GOF0 and GOF5 for different parametric models and cutoffs.
Examples
1 2 3 | library(breakaway)
data(apples)
all_parametric_model(apples)
|
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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