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pop
View on CRAN: Click
here
Download and install pop package within the R console
Install from CRAN:
install.packages("pop")
Install from Github:
library("remotes")
install_github("cran/pop") Install by package version:
library("remotes")
install_version("pop", "0.1") Attach the package and use:
library("pop")
Maintained by
Nick Golding
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-06-07
Latest Update: 2016-06-07
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.
How to cite:
Nick Golding (2016). pop: A Flexible Syntax for Population Dynamic Modelling. R package version 0.1, https://cran.r-project.org/web/packages/pop. Accessed 25 Jun. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited pop R package
View pop citation profile
Other R packages that pop depends,
imports, suggests or enhances
Complete documentation for pop
Functions, R codes and Examples using
the pop R package
Some associated functions: as.transfun . dispersal . dynamic . landscape . parameters . pop . probability . projection . rate . simulation . transfun . transition .
Some associated R codes: core_internal.R . dynamic-class.R . landscape-class.R . parameters-method.R . pop.R . projection-class.R . simulation-class.R . transfun-class.R . transfun_dispersal.R . transfun_probability.R . transfun_rate.R . transition-class.R . Full pop package functions and examples
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