ts.poly: Polynomial Time Series Regression
In jack-thomas/uwrfRegression: Automated Regression for UWRF Math 327
Description
Usage
Arguments
Examples
Description
This function performs polynomial time series regression. It returns the
polynomial regression with the best adjusted r-squared value.
Usage
1
Arguments
x
a vector of time series data upon which to perform polynomial regression.
t
a vector of time series sequence information.
Examples
1
ts.poly()
jack-thomas/uwrfRegression documentation built on May 18, 2019, 7:16 a.m.
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Description Usage Arguments Examples
Description
This function performs polynomial time series regression. It returns the polynomial regression with the best adjusted r-squared value.
Usage
1 |
Arguments
x |
a vector of time series data upon which to perform polynomial regression. |
t |
a vector of time series sequence information. |
Examples
1 | ts.poly()
|
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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