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breakaway (version 3.0)

Species Richness Estimation and Modeling

Description

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.

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Version

Install

install.packages('breakaway')

Monthly Downloads

468

Version

3.0

License

GPL-2

Maintainer

Amy Willis

Last Published

March 30th, 2016

Functions in breakaway (3.0)

betta_pic

function for plotting total diversity
apples

``apples'' dataset
hawaii

``hawaii'' dataset
chao_bunge

function for species richness estimation
chao1_bc

species richness estimator under equal detection probabilities
betta_random

modelling total diversity with random effects
betta

modelling total diversity
breakaway_nof1

species richness estimation without singletons
breakaway

function for species richness estimation
wlrm_untransformed

function for species richness estimation
wlrm_transformed

function for species richness estimation
breakaway-package

Species richness estimation and modelling in the high-diversity setting
chao1

species richness lower bound