untb v1.6-4


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ecological drift under the UNTB

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. Now includes functionality provided by Francois Munoz and Andrea Manica.

Functions in untb

Name Description
plot.count Abundance curves
alonso Various functions from Alonso and McKane 2004
count Construct, coerce, and test for a count object
preston Preston diagram of an ecosystem
bci Barro Colorado Island (BCI) dataset
fisher Various functionality to implement Fisher's logseries
optimal.params.sloss Estimation of neutral community parameters using a two-stage maximum-likelihood procedure
no.of.ind Ecosystem diagnostics
untb Ecological drift simulation under the Unified Neutral Theory of Biodiversity
print.preston Print and plot objects of class Preston
expected.abundance Expected abundances under the neutral model
isolate Randomly select a subset of an ecosystem
extractor Extract rows of a database in count form
caruso Dataset due to Caruso
ghats Tree counts in 1-ha plots from the Western Ghats mountains (South India)
optimal.params.gst Estimation of local immigration using GST(k) statistics
simpson Simpson's diversity index
species.count Ecosystem diagnostics for output of untb()
butterflies abundance data for butterflies
display.untb Animation of neutral ecological drift
rand.neutral Random neutral ecosystem
theta.prob Posterior probabilities for theta
vallade Various functions from Vallade and Houchmandzadeh
untb-package Unified neutral theory of biodiversity
etienne Etienne's sampling formula
logS1 logarithms of Stirling numbers of the first kind
+.count Add two count objects
phi Hubbell's phi
copepod Copepod data supplied by Phil Pugh
logkda Etienne's K(D,A)
volkov Expected frequency of species
sahfos Biodiversity dataset provided by SAHFOS
summary.count Summary methods for count and census objects
census Construct, coerce, and test for a census object
optimal.prob Returns an estimate of the fundamental biodiversity number
saunders Dataset due to Saunders
print.summary.count Print method for summary objects
zsm Zero sum multinomial distribution as derived by McKane
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Last month downloads


Type Package
Date 2009-26-02
SystemRequirements PARI/GP >= 2.3.0 [strongly recommended for logkda()]
License GPL
URL http://www.r-project.org
Packaged 2010-10-20 09:13:38 UTC; rksh
Repository CRAN
Date/Publication 2010-10-20 13:56:57

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