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untb (version 1.4-2)

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

363

Version

1.4-2

License

GPL

Maintainer

Robin K S Hankin

Last Published

March 30th, 2009

Functions in untb (1.4-2)

fisher

Various functionality to implement Fisher's logseries
expected.abundance

Expected abundances under the neutral model
etienne

Etienne's sampling formula
print.summary.count

Print method for summary objects
logS1

logarithms of Stirling numbers of the first kind
volkov

Expected frequency of species
simpson

Simpson's diversity index
saunders

Dataset due to Saunders
phi

Hubbell's phi
alonso

Various functions from Alonso and McKane 2004
species.count

Ecosystem diagnostics for output of untb()
no.of.ind

Ecosystem diagnostics
plot.count

Abundance curves
count

Construct, coerce, and test for a count object
preston

Preston diagram of an ecosystem
vallade

Various functions from Vallade and Houchmandzadeh
optimal.prob

Returns an estimate of the fundamental biodiversity number
bci

Barro Colorado Island (BCI) dataset
logkda

Etienne's K(D,A)
sahfos

Biodiversity dataset provided by SAHFOS
rand.neutral

Random neutral ecosystem
theta.prob

Posterior probabilities for theta
butterflies

abundance data for butterflies
summary.count

Summary methods for count and census objects
untb-package

Unified neutral theory of biodiversity
untb

Ecological drift simulation under the Unified Neutral Theory of Biodiversity
extractor

Extract rows of a database in count form
copepod

Copepod data supplied by Phil Pugh
print.preston

Print and plot objects of class Preston
display.untb

Animation of neutral ecological drift
zsm

Zero sum multinomial distribution as derived by McKane
census

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

Add two count objects
isolate

Randomly select a subset of an ecosystem