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untb (version 1.2-15)

ecological drift under the UNTB

Description

A collection of utilities for biodiversity data. Includes the simulation of ecological drift under Hubbell's Unified Neutral Theory of Biodiversity, and the calculation of various diagnostics such as Preston curves.

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Version

Install

install.packages('untb')

Monthly Downloads

186

Version

1.2-15

License

GPL

Maintainer

Robin Hankin

Last Published

September 11th, 2024

Functions in untb (1.2-15)

fisher

Various functionality to implement Fisher's logseries
copepod

Copepod data supplied by Phil Pugh
no.of.ind

Ecosystem diagnostics
census

Construct, coerce, and test for a census object
+.count

Add two count objects
rand.neutral

Random neutral ecosystem
display.untb

Animation of neutral ecological drift
simpson

Simpson's diversity index
untb

Ecological drift simulation under the Unified Neutral Theory of Biodiversity
saunders

Dataset due to Saunders
etienne

Etienne's sampling formula
print.preston

Print and plot objects of class Preston
logkda

Etienne's K(D,A)
butterflies

abundance data for butterflies
alonso

Various functions from Alonso and McKane 2004
plot.count

Abundance curves
print.summary.count

Print method for summary objects
logS1

logarithms of Stirling numbers of the first kind
vallade

Various functions from Vallade and Houchmandzadeh
preston

Preston diagram of an ecosystem
expected.abundance

Expected abundances under the neutral model
isolate

Randomly select a subset of an ecosystem
theta.prob

Posterior probabilities for theta
untb-package

Unified neutral theory of biodiversity
summary.count

Summary methods for count and census objects
extractor

Extract rows of a database in count form
sahfos

Biodiversity dataset provided by SAHFOS
phi

Hubbell's phi
volkov

Expected frequency of species
count

Construct, coerce, and test for a count object
optimal.prob

Returns an estimate of the fundamental biodiversity number
species.count

Ecosystem diagnostics for output of untb()
zsm

Zero sum multinomial distribution as derived by McKane