Data sets used in the book "Generalized Additive Models:
An introduction with R", Wood (2006) CRC.

Data sets used in the book "Generalized Additive Models:
An Introduction with R", Wood (2006) CRC.

Data sets and scripts used in the book "Generalized
Additive Models: An Introduction with R", Wood (2006) CRC.

mgcv, lattice, MASS, nlme, lme4, geoR, survival

Data sets and scripts used in the book 'Generalized Additive
Models: An Introduction with R', Wood (2006,2017) CRC.

Fit the GamBin model to species abundance distributions
Michael Krabbe Borregaard, Thomas Matthews & Karl Ugland
This package provides functions for fitting the gambin distribution to
species-abundance distributions from ecological data. The main function is fitGambin, which
estimates the 'alpha' parameter of the gambin distribution using maximum likelihood. Functions
are also provided to generate the gambin distribution and for calculating likelihood
statistics.

Fit the GamBin Model to Species Abundance Distributions
Fits the gambin distribution to species-abundance distributions from
ecological data. 'gambin' is short for 'gamma-binomial'. The main function is
fitGambin, which estimates the 'alpha' parameter of the gambin distribution using
maximum likelihood. Functions are also provided to generate the gambin distribution
and for calculating likelihood statistics.

Fit the Gambin Model to Species Abundance Distributions
c(person(given="Thomas", family="Matthews", email="txm676@gmail.com",
role = c("aut", "cre")), person(given=c("Michael", "Krabbe"),
family="Borregaard", email="mkborregaard@snm.ku.dk", role = "aut"),
person(given="Karl", family="Ugland", role = "aut"),
person(given="Colin", family="Gillespie",
email="csgillespie@gmail.com", role = "aut"))
Fits unimodal and multimodal gambin distributions to species-abundance distributions
from ecological data. 'gambin' is short for 'gamma-binomial'. The main function
is fit_abundances(), which estimates the 'alpha' parameter(s) of the gambin distribution
using maximum likelihood. Functions are also provided to generate the gambin distribution
and for calculating likelihood statistics.
stats, graphics, doParallel, gtools, foreach, parallel
Thomas Matthews [aut, cre],
Michael Krabbe Borregaard [aut],
Karl Ugland [aut],
Colin Gillespie [aut]