person("Etienne", "Bacher", , "etienne.bacher@protonmail.com", role = "ctb",
Suggests: knitr, pkgdown, markdown, rmarkdown, roxygen2, tinytest

Title: A Flexible Syntax for Population Dynamic Modelling
Description: Population dynamic models underpin a range of analyses and applications in ecology and epidemiology. The various approaches for analysing population dynamics models (MPMs, IPMs, ODEs, POMPs, PVA) each require the model to be defined in a different way. This makes it difficult to combine different modelling approaches and data types to solve a given problem. 'pop' aims to provide a flexible and easy to use common interface for constructing population dynamic models and enabling to them to be fitted and analysed in lots of different ways.

Title: Models for Simulating Lion Populations
Authors@R: c(person("Guillaume", "Chapron", role = c("aut", "cre"), email = "gchapron@carnivoreconservation.org"),
person("Matthew", "Wijers", role = "ctb"),
person("Andrew", "Loveridge", role = "ctb"),
person("David", "Macdonald", role = "ctb"))
Description: Simulate the dynamic of lion populations using a specific Individual-Based Model (IBM) compiled in C.
Packaged: 2022-04-07 10:01:24 UTC; guillaume

Packaged: 2022-03-31 20:10:49 UTC; guillaume

Title: Models for Simulating Wolf Populations
Authors@R: c(person("Guillaume", "Chapron", role = c("aut", "cre"), email = "guillaume.chapron@slu.se"),
person("Camilla", "Wikenros", role = "ctb"),
person("Øystein", "Flagstad", role = "ctb"),
person("Cyril", "Milleret", role = "ctb"),
person("Johan", "Månsson", role = "ctb"),
person("Linn", "Svensson", role = "ctb"),
person("Barbara", "Zimmermann", role = "ctb"),
person("Mikael", "Åkesson", role = "ctb"),
person("Petter", "Wabakken", role = "ctb"),
Description: Simulate the dynamic of wolf populations using a specific Individual-Based Model (IBM) compiled in C.
Packaged: 2016-04-06 13:18:44 UTC; Guillaume

Description: Simulate the dynamic of wolf populations using a specific Individual-Based Model (IBM) compiled in C, see Chapron et al. (2016) <doi:10.1016/j.ecolmodel.2016.08.012>.
Packaged: 2022-03-15 14:05:06 UTC; guillaume