qwdap.ppr: Projection Pursuit Regression
In QWDAP: Quantum Walk-Based Data Analysis and Prediction
qwdap.ppr R Documentation
Projection Pursuit Regression
Description
Projection pursuit regression. This is a nonlinear regression method used to
establish the nonlinear relationship between the original time series and the modes
generated by quantum walks.
Usage
qwdap.ppr(in_data, data_range, plotting)
Arguments
in_data
a 'QWMS' object, which includes the target series and the
selected modes which can be obtained from modes selection.
data_range
the range of the train samples.
plotting
whether to plot.
Value
a 'QWMODEL' object which includes the information of regression analysis.
Examples
data("traffic.n1")
res.ppr <- qwdap.ppr(traffic.n1,c(1,500))
QWDAP documentation built on April 1, 2022, 9:06 a.m.
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| qwdap.ppr | R Documentation |
Projection Pursuit Regression
Description
Projection pursuit regression. This is a nonlinear regression method used to establish the nonlinear relationship between the original time series and the modes generated by quantum walks.
Usage
qwdap.ppr(in_data, data_range, plotting)
Arguments
in_data |
a 'QWMS' object, which includes the target series and the selected modes which can be obtained from modes selection. |
data_range |
the range of the train samples. |
plotting |
whether to plot. |
Value
a 'QWMODEL' object which includes the information of regression analysis.
Examples
data("traffic.n1")
res.ppr <- qwdap.ppr(traffic.n1,c(1,500))
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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