qwdap.predict: Prediction
In QWDAP: Quantum Walk-Based Data Analysis and Prediction
qwdap.predict R Documentation
Prediction
Description
Based on the established model, make predict. The core algorithm of VAR prediction comes from MTS(ver. 1.1.1).
Usage
qwdap.predict(in_model, data_range)
Arguments
in_model
a 'QWMODEL' object, which is the model built by Stepwise Regression,
PCR, PLSR, PPR, VAR in this package.
data_range
indicate the index range of the part data generated by quantum walks for predict.
Value
the predict data.
Examples
data(traffic.model.n1)
res.predict <- qwdap.predict(traffic.model.n1,c(501,720))
QWDAP documentation built on April 1, 2022, 9:06 a.m.
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| qwdap.predict | R Documentation |
Prediction
Description
Based on the established model, make predict. The core algorithm of VAR prediction comes from MTS(ver. 1.1.1).
Usage
qwdap.predict(in_model, data_range)
Arguments
in_model |
a 'QWMODEL' object, which is the model built by Stepwise Regression, PCR, PLSR, PPR, VAR in this package. |
data_range |
indicate the index range of the part data generated by quantum walks for predict. |
Value
the predict data.
Examples
data(traffic.model.n1) res.predict <- qwdap.predict(traffic.model.n1,c(501,720))
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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