TentFn: Tent function dynamics
In James-Thorson/NLTS: Non-linear time series
Description
Usage
Arguments
Value
Author(s)
Description
This simulates data from a tent function, a simple functionm that generates 'nonlinear' dynamics
Usage
1
TentFn(Nobs, S)
Arguments
X
Location
S
Tent height (producing non-linear dynamics given S>1.75)
Value
Generates the next observation given location X
Author(s)
James Thorson
James-Thorson/NLTS documentation built on May 7, 2019, 10:19 a.m.
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Description Usage Arguments Value Author(s)
Description
This simulates data from a tent function, a simple functionm that generates 'nonlinear' dynamics
Usage
1 | TentFn(Nobs, S)
|
Arguments
X |
Location |
S |
Tent height (producing non-linear dynamics given S>1.75) |
Value
Generates the next observation given location X
Author(s)
James Thorson
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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