chao1_bc


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

data


    Logical: whether the results should be printed to screen.
  

print


    Logical: whether the function should return an argument.
  

answers

This function implements the bias-corrected Chao1 species richness estimator.

 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.

chao1_bc: species richness estimator under equal detection probabilities

Description

Usage

Arguments

Value

References

See Also