LSN: Linearized Saddle Node model
In cboettig/earlywarning: Detection of Early Warning Signals for Catastrophic Bifurcations
Description
Usage
Arguments
Value
Description
Estimate the mean and variance of the linearized saddle
node process (in which the spring constant changes over
time)
Usage
1
LSN(Xo, to, t1, pars)
Arguments
Xo
initial condition
to
initial time
t1
final time
pars
numeric of parameters named Ro, theta, and
sigma
Value
a list with values Ex, the expected x value, and Vx, the
expected variance
cboettig/earlywarning documentation built on May 13, 2019, 2:07 p.m.
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Description Usage Arguments Value
Description
Estimate the mean and variance of the linearized saddle node process (in which the spring constant changes over time)
Usage
1 | LSN(Xo, to, t1, pars)
|
Arguments
Xo |
initial condition |
to |
initial time |
t1 |
final time |
pars |
numeric of parameters named Ro, theta, and sigma |
Value
a list with values Ex, the expected x value, and Vx, the expected variance
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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