taxi.sim.FM: Simulate taxi data by factor models
In tensorTS: Factor and Autoregressive Models for Tensor Time Series
taxi.sim.FM R Documentation
Simulate taxi data by factor models
Description
Simulate tensor time series by factor models, using estimated coefficients by taxi data.
Usage
taxi.sim.FM(t, print.tar.coef=FALSE, print.loading=FALSE, seed=216)
Arguments
t
length of output series.
print.tar.coef
print coefficients used for simulation, default FALSE.
print.loading
print loading matrices used for simulation, default FALSE.
seed
random seed.
Value
A tensor-valued time series of dimension (4,4,3).
See Also
taxi.sim.AR
Examples
xx = taxi.sim.FM(t=252)
tensorTS documentation built on May 29, 2024, 10:23 a.m.
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| taxi.sim.FM | R Documentation |
Simulate taxi data by factor models
Description
Simulate tensor time series by factor models, using estimated coefficients by taxi data.
Usage
taxi.sim.FM(t, print.tar.coef=FALSE, print.loading=FALSE, seed=216)
Arguments
t |
length of output series. |
print.tar.coef |
print coefficients used for simulation, default FALSE. |
print.loading |
print loading matrices used for simulation, default FALSE. |
seed |
random seed. |
Value
A tensor-valued time series of dimension (4,4,3).
See Also
taxi.sim.AR
Examples
xx = taxi.sim.FM(t=252)
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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