Package: pop 0.2

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.

Authors:Nick Golding

pop.pdf |pop.html
pop/json (API)

# Install 'pop' in R:
install.packages('pop', repos = c('', ''))

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35 exports 10 stars 3.19 score 12 dependencies 15 mentions 119 downloads

Last updated 8 years agofrom:b722cb0246



Readme and manuals

Help Manual

Help pageTopics
create a transition functionas.transfun
dispersal transfund dispersal is.dispersal
dynamic objectsas.matrix.dynamic dynamic is.dynamic parameters.dynamic parameters<-.dynamic plot.dynamic print.dynamic states
landscape objectsarea area<- as.landscape distance distance<- features features<- is.landscape landscape landscape<- population population<- print.landscape [[.landscape
get and set parametersparameters parameters<-
pop: A Flexible Syntax for Population Dynamic Modellingpop-package pop
probability transfunis.probability p probability
Deterministic projectionis.pop_projection plot.pop_projection projection
rate transfunis.rate r rate
Stochastic Simulationis.simulation plot.simulation simulation
transfun objects*.transfun is.transfun parameters.transfun parameters<-.transfun print.transfun transfun
transition objects*.transition is.transition parameters.transition parameters<-.transition print.transition tr transition