rztnbinomtable

Simulate a frequency count table based on a negative binomial model.
Zero-truncated, obviously.

Understanding the drivers of microbial diversity is an important frontier of microbial ecology, and investigating the diversity of samples from microbial ecosystems is a common step in any microbiome analysis. 'breakaway' is the premier package for statistical analysis of microbial diversity. 'breakaway' implements the latest and greatest estimates of species richness, described in Willis and Bunge (2015) <doi:10.1111/biom.12332>, Willis et al. (2017) <doi:10.1111/rssc.12206>, and Willis (2016) <arXiv:1604.02598>, as well as the most commonly used estimates, including the objective Bayes approach described in Barger and Bunge (2010) <doi:10.1214/10-BA527>.

Amy D Willis

breakaway

Species Richness Estimation and Modeling

Bryan D Martin

Pauline Trinh

Sarah Teichman

David Clausen

Kathryn Barger

John Bunge

rztnbinomtable function

<dl><dt>C</dt>
<dd>species richness</dd>
<dt>size</dt>
<dd>size parameter for the negative binomial distribution</dd>
<dt>probability</dt>
<dd>probability parameter for the negative binomial
distribution</dd></dl>

Arguments

Author

beta version: Zero-truncated negative binomially distributed frequency count
tables. — rztnbinomtable

<dl>

<dt>C</dt>
<dd>species richness</dd>


<dt>size</dt>
<dd>size parameter for the negative binomial distribution</dd>


<dt>probability</dt>
<dd>probability parameter for the negative binomial
distribution</dd>

</dl>

rztnbinomtable: beta version: Zero-truncated negative binomially distributed frequency count tables.

Description

Usage

Value

Arguments

Author