prepare_real_data: SARIMA Simulations from Real World Data templates
In christophsax/tdmc: Reproducible Monte-Carlo Evaluation of Regression-Based Temporal Disaggregation Methods
Description
Usage
Arguments
Examples
Description
SARIMA Simulations from Real World Data templates
Usage
1
prepare_real_data(n.draws = 10, n = 92, bootstrap = TRUE)
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?
Examples
1
real_data <- prepare_real_data(10) # use 1000 to replicate paper
christophsax/tdmc documentation built on May 9, 2019, 12:47 p.m.
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Description Usage Arguments Examples
Description
SARIMA Simulations from Real World Data templates
Usage
1 | prepare_real_data(n.draws = 10, n = 92, bootstrap = TRUE)
|
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? |
Examples
1 | real_data <- prepare_real_data(10) # use 1000 to replicate paper
|
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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