data.gen.ar9: Generate predictor and response data from AR9 model.
In synthesis: Generate Synthetic Data from Statistical Models
Description
Usage
Arguments
Value
Examples
Description
Generate predictor and response data from AR9 model.
Usage
1
data.gen.ar9(nobs, ndim = 9)
Arguments
nobs
The data length to be generated.
ndim
The number of potential predictors (default is 9).
Value
A list of 2 elements: a vector of response (x), and a matrix of potential predictors (dp) with each column containing one potential predictor.
Examples
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# AR9 model from paper with total 9 dimensions
data.ar9<-data.gen.ar9(500)
plot.ts(cbind(data.ar9$x,data.ar9$dp))
# Predictor Identifier
NPRED::stepwise.PIC(data.ar9$x, data.ar9$dp)
synthesis documentation built on Nov. 27, 2021, 5:07 p.m.
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Description Usage Arguments Value Examples
Description
Generate predictor and response data from AR9 model.
Usage
1 | data.gen.ar9(nobs, ndim = 9)
|
Arguments
nobs |
The data length to be generated. |
ndim |
The number of potential predictors (default is 9). |
Value
A list of 2 elements: a vector of response (x), and a matrix of potential predictors (dp) with each column containing one potential predictor.
Examples
1 2 3 4 5 6 7 | # AR9 model from paper with total 9 dimensions
data.ar9<-data.gen.ar9(500)
plot.ts(cbind(data.ar9$x,data.ar9$dp))
# Predictor Identifier
NPRED::stepwise.PIC(data.ar9$x, data.ar9$dp)
|
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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