SimulationComponents: Code components to simulate a landscape
In rmetasim: An Individual-Based Population Genetic Simulation Environment
Description
Usage
Arguments
Details
See Also
Description
These functions can be used to construct custom simulations of
landscapes. Each conducts only a single generations worth of change
Usage
1
2
3
4
5
landscape.advance(Rland, seed = -1)
landscape.carry(Rland, seed = -1)
landscape.extinct(Rland, seed = -1)
landscape.reproduce(Rland, seed = -1)
landscape.survive(Rland, seed = -1)
Arguments
Rland
the Rmetasim landscape object
seed
seed for random number generator
Details
landscape.advance() merely advances the generation counter and selects
the new generations demographic conditions if such conditions can
vary. The other functions implement carrying capacity, local
extinction, reproduction, and survival/growth, respectively. The
function landscape.simulate() bundles the functionality of these
components into a single function (and executes it slightly faster all within linked C++ code).
See Also
rmetasim documentation built on Feb. 8, 2020, 1:06 a.m.
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Description Usage Arguments Details See Also
Description
These functions can be used to construct custom simulations of landscapes. Each conducts only a single generations worth of change
Usage
1 2 3 4 5 | landscape.advance(Rland, seed = -1)
landscape.carry(Rland, seed = -1)
landscape.extinct(Rland, seed = -1)
landscape.reproduce(Rland, seed = -1)
landscape.survive(Rland, seed = -1)
|
Arguments
Rland |
the Rmetasim landscape object |
seed |
seed for random number generator |
Details
landscape.advance() merely advances the generation counter and selects
the new generations demographic conditions if such conditions can
vary. The other functions implement carrying capacity, local
extinction, reproduction, and survival/growth, respectively. The
function landscape.simulate() bundles the functionality of these
components into a single function (and executes it slightly faster all within linked C++ code).
See Also
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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