taxi.sim.AR: Simulate taxi data by tenAR models
In tensorTS: Factor and Autoregressive Models for Tensor Time Series
taxi.sim.AR R Documentation
Simulate taxi data by tenAR models
Description
Simulate tensor time series by autoregressive models, using estimated coefficients by taxi data.
Usage
taxi.sim.AR(t, print.tar.coef=FALSE, print.sig=FALSE, seed=123)
Arguments
t
length of output series.
print.tar.coef
print coefficients, default FALSE.
print.sig
print covariance matrices, default FALSE.
seed
random seed.
Value
A tensor-valued time series of dimension (5,5,7).
See Also
taxi.sim.FM
Examples
xx = taxi.sim.AR(t=753)
tensorTS documentation built on May 29, 2024, 10:23 a.m.
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| taxi.sim.AR | R Documentation |
Simulate taxi data by tenAR models
Description
Simulate tensor time series by autoregressive models, using estimated coefficients by taxi data.
Usage
taxi.sim.AR(t, print.tar.coef=FALSE, print.sig=FALSE, seed=123)
Arguments
t |
length of output series. |
print.tar.coef |
print coefficients, default FALSE. |
print.sig |
print covariance matrices, default FALSE. |
seed |
random seed. |
Value
A tensor-valued time series of dimension (5,5,7).
See Also
taxi.sim.FM
Examples
xx = taxi.sim.AR(t=753)
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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