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simecol (version 0.8-4)

Simulation of ecological (and other) dynamic systems

Description

simecol is an object oriented framework to simulate ecological (and other) dynamic systems. It can be used for differential equations, individual-based (or agent-based) and other models as well. The package helps to organize scenarios (avoids copy and paste) and improves readability and usability of code.

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Version

Install

install.packages('simecol')

Monthly Downloads

376

Version

0.8-4

License

GPL (>= 2)

Maintainer

Thomas Petzoldt

Last Published

September 26th, 2013

Functions in simecol (0.8-4)

addtoenv

Add Functions from a Non-nested List of Named Functions to a Common Environment
as.simObj

Coerce simObj Objects to Lists and Vice-Versa
diffusion

A Random Walk Particle Diffusion Model
initialize-methods

Methods for Function `initialize' in Package `simecol'
mixNamedVec

Mix Two Named Vectors, Resolving Name Conflicts
approxTime

Linear Interpolation with Complete Matrices or Data Frames
ssqOdeModel

Sum of Squares Between odeModel and Data
plot-methods

Methods for Function plot in Package `simecol'
pcuseries

Generate Plackett Bivariate Random Numbers
fromtoby

Create Regular Sequence from 'from-to-by' Vector
sEdit

Simple editing
conway

The Classical Coway's Game of Life
simecol-package

The `simecol' Package
lv3

Lotka-Volterra-Type Model with Resource, Prey and Predator
fixParms

Fix `parms', `init' or `times' Slot of `simecol' Objects
observer

Get or Set an Observer Functions to an `simObj' Object
print-methods

Methods for Function `print' in Package `simecol'
sim-methods

Simulation of 'simObj' model objects
chemostat

Chemostat Model
upca

The Uniform Period Chaotic Amplitude Model
seedfill

Color Fill Algorithm
lv

Lotka-Volterra Predator-Prey Model
parms

Accessor Functions for `simObj' Objects
eightneighbours

Count Number of Neighbours in a Rectangular Cellular Grid.
listOrNULL-class

Helpful Union Classes
iteration

Discrete Simulation
peaks

Find Peaks Within xy-Data
neighbours

Count Number of Neighbours on a Rectangular Grid.
p.constrain

Transform Data Between Unconstrained and Box-constrained Scale
CA

Stochastic Cellular Automaton
fitOdeModel

Parameter Fitting for odeModel Objects
odeModel

Generating-functions (Constructors) to Create Objects of Classes `odeModel', `rwalkModel' and `gridModel'.