smithlabcode/preseqR: Predicting the Number of Species in a Random Sample
Version 4.0.0

The relation between the number of species and the number of individuals in a random sample is a classic problem back to Fisher (1943) . We generalize this problem to predict the number of species represented at least r times in a random sample. In particular when r=1, it becomes the classic problem. We use a mixture of Poisson processes to model sampling procedures and apply an empirical Bayes approach to obtain a rational function estimator. The approach can be applied to assess the quality of DNA sequencing libraries and optimize depths of sequencing experiments. For more information on 'preseqR', see Deng C, Daley T and Smith AD (2015) and Deng C and Smith AD (2016) .

Getting started

Package details

AuthorChao Deng, Timothy Daley and Andrew D. Smith
MaintainerChao Deng <[email protected]>
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
smithlabcode/preseqR documentation built on Feb. 16, 2018, 6:20 a.m.