pop: A Flexible Syntax for Population Dynamic Modelling

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.

Install the latest version of this package by entering the following in R:
install.packages("pop")
AuthorNick Golding
Date of publication2016-06-07 06:26:35
MaintainerNick Golding <nick.golding.research@gmail.com>
LicenseMIT + file LICENSE
Version0.1

View on CRAN

Functions

area Man page
area<- Man page
as.landscape Man page
as.matrix.dynamic Man page
as.transfun Man page
d Man page
dispersal Man page
distance Man page
distance<- Man page
dynamic Man page
features Man page
features<- Man page
is.dispersal Man page
is.dynamic Man page
is.landscape Man page
is.pop_projection Man page
is.probability Man page
is.rate Man page
is.simulation Man page
is.transfun Man page
is.transition Man page
landscape Man page
[[.landscape Man page
landscape<- Man page
p Man page
parameters Man page
parameters<- Man page
parameters<-.dynamic Man page
parameters.dynamic Man page
parameters<-.transfun Man page
parameters.transfun Man page
parameters<-.transition Man page
parameters.transition Man page
plot.dynamic Man page
plot.pop_projection Man page
plot.simulation Man page
pop Man page
pop-package Man page
population Man page
population<- Man page
print.dynamic Man page
print.landscape Man page
print.transfun Man page
print.transition Man page
probability Man page
projection Man page
r Man page
rate Man page
simulation Man page
states Man page
tr Man page
transfun Man page
*.transfun Man page
transition Man page
*.transition Man page

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

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