sim_sarima: AR1 Simulations and Estimations
In christophsax/tdmc: Reproducible Monte-Carlo Evaluation of Regression-Based Temporal Disaggregation Methods
Description
Usage
Arguments
Examples
Description
AR1 Simulations and Estimations
Usage
1
2
sim_sarima(n.draws = 10, n = 92, bootstrap = TRUE,
out_path = system.file(package = "tdmc", "out"))
Arguments
n.draws
number of draws
n
length of the time series (in quarterts, incl 1 year foracast)
bootstrap
should the errors in the simulated series be bootstraped?
(instead of drawn from a normal)
out_path
where to save the data
Examples
1
2
3
out_path <- system.file(package = "tdmc", "out")
# use n.draws = 1000 to replicate paper
sim_sarima(n.draws = 10, out_path = out_path)
christophsax/tdmc documentation built on May 9, 2019, 12:47 p.m.
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Description Usage Arguments Examples
Description
AR1 Simulations and Estimations
Usage
1 2 | sim_sarima(n.draws = 10, n = 92, bootstrap = TRUE,
out_path = system.file(package = "tdmc", "out"))
|
Arguments
n.draws |
number of draws |
n |
length of the time series (in quarterts, incl 1 year foracast) |
bootstrap |
should the errors in the simulated series be bootstraped? (instead of drawn from a normal) |
out_path |
where to save the data |
Examples
1 2 3 | out_path <- system.file(package = "tdmc", "out")
# use n.draws = 1000 to replicate paper
sim_sarima(n.draws = 10, out_path = out_path)
|
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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