ipmr: Fits Integral Projection Models Using an Expression Based Framework

Flexibly implements Integral Projection Models using an expression based framework. This will not abstract away the model selection process, but it will make sure you get everything after that correct. It 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.

Version:	0.0.1
Depends:	R (≥ 3.2.3)
Imports:	graphics, grDevices, magrittr, methods, purrr (≥ 0.3.0), rlang (≥ 0.3.0), stats, utils, Rcpp
LinkingTo:	Rcpp
Suggests:	knitr, lme4, mvtnorm, rmarkdown, roxygen2, spelling, testthat, covr
Published:	2021-02-10
Author:	Sam Levin [aut, cre], Aldo Compagnoni [aut], Dylan Childs [aut], Sanne Evers [aut], Roberto Salguero-Gomez [aut], Tiffany Knight [aut]
Maintainer:	Sam Levin <levisc8 at gmail.com>
BugReports:	https://github.com/levisc8/ipmr/issues
License:	MIT + file LICENSE
URL:	https://levisc8.github.io/ipmr/, https://github.com/levisc8/ipmr
NeedsCompilation:	yes
Language:	en-US
Materials:	NEWS
CRAN checks:	ipmr results

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