data.gen.ar9: Generate predictor and response data.
In NPRED: Predictor Identifier: Nonparametric Prediction
data.gen.ar9 R Documentation
Generate predictor and response data.
Description
Generate predictor and response data.
Usage
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
# AR9 model from paper with total 9 dimensions
data.ar9 <- data.gen.ar9(500)
stepwise.PIC(data.ar9$x, data.ar9$dp)
NPRED documentation built on Sept. 11, 2024, 5:30 p.m.
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| data.gen.ar9 | R Documentation |
Generate predictor and response data.
Description
Generate predictor and response data.
Usage
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
# AR9 model from paper with total 9 dimensions
data.ar9 <- data.gen.ar9(500)
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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