chao_bunge


    The sample frequency count table for the population of interest. See <span class="samp">breakaway</span> for details.
  

data


    The maximum frequency count to use for prediction. Defaults to 10.
  

cutoff


    Logical: whether the results should be printed to screen.
  

print


    Logical: whether the function should return an argument.
  

answers

This function implements the species richness estimation procedure outlined in Chao and Bunge (2002).

 models

 diversity 

Species richness estimation is an important problem in biodiversity analysis. This package provides methods for total species richness estimation (observed plus unobserved) and a method for modelling total diversity with covariates. breakaway() estimates total (observed plus unobserved) species richness. Microbial diversity datasets are characterized by a large number of rare species and a small number of highly abundant species. The class of models implemented by breakaway() is flexible enough to model both these features. breakaway_nof1() implements a similar procedure however does not require a singleton count. betta() provides a method for modelling total diversity with covariates in a way that accounts for its estimated nature and thus accounts for unobserved taxa, and betta_random() permits random effects modelling.

chao_bunge: function for species richness estimation

Description

Usage

Arguments

Value

References

See Also