Flexibly implements Integral Projection Models using a
mathematical(ish) syntax. This package will not help with the vital rate
modeling process, but will help convert those regression models into an
IPM. 'ipmr' handles density dependence and environmental stochasticity, with a
couple of options for implementing the latter. In addition, provides functions
to avoid unintentional eviction of individuals from models. Additionally,
provides model diagnostic tools, plotting functionality,
stochastic/deterministic simulations, and analysis tools.
Integral projection models are described in depth by Easterling et al. (2000)
<doi:10.1890/0012-9658(2000)081[0694:SSSAAN]2.0.CO;2>, Merow et al. (2013)
<doi:10.1111/2041-210X.12146>, Rees et al. (2014) <doi:10.1111/1365-2656.12178>,
and Metcalf et al. (2015) <doi:10.1111/2041-210X.12405>.
Williams et al. (2012) <doi:10.1890/11-2147.1> discuss the problem of
unintentional eviction.

c(
person(given = "Sam",
family = "Levin",
role = c("aut", "cre"),
email = "levisc8@gmail.com",
comment = c(ORCID = "0000-0002-3289-9925")),
person(given = "Aldo",
family = "Compagnoni",
email = "aldo.compagnoni@idiv.de",
role = "aut"),
person(given = "Dylan",
family = "Childs",
email = "d.childs@sheffield.ac.uk",
role = "aut"),
person(given = "Sanne",
family = "Evers",
email = "sanne.evers@idiv.de",
role = "aut"),
person(given = "Roberto",
family = "Salguero-Gomez",
email = "rob.salguero@zoo.ox.ac.uk",
role = "aut"),
person(given = "Tiffany",
family = "Knight",
email = "tiffany.knight@idiv.de",
role = "aut"),
person(given = "Eric",
family = "Scott",
email  = "scottericr@gmail.com",
role   = "ctb"))
covr, knitr, lme4, mvtnorm, rmarkdown, roxygen2, spelling,
testthat, tools
Sam Levin [aut, cre] (<https://orcid.org/0000-0002-3289-9925>),
Aldo Compagnoni [aut],
Dylan Childs [aut],
Sanne Evers [aut],
Roberto Salguero-Gomez [aut],
Tiffany Knight [aut],
Eric Scott [ctb]

R (>= 2.7.0), AlgDesign, copula, evd, triangle
An R package for uncertainty quantification and propagation in the framework of Dempster-Shafer Theory and imprecise probabilities. This package was developed in the context of a collaborative research project between EDF R&D (http//rd.edf.com) and the University of Duisburg-Essen, Information Logistics (http//www.uni-due.de/il).