ts_features: Estimate a battery of statistical tests for unit roots and...
In DataScienceForPublicPolicy/hypML: unitrootML - Machine Learning-Based Hypothesis Testing for Time Series
Description
Usage
Arguments
Value
Author(s)
Examples
Description
Returns a set of commonly used time series statistical tests and time series features.
Usage
1
ts_features(series, cval = 0.05)
Arguments
series
A time series object
cval
A critical value as a p-value
Value
A data frame
Author(s)
Gary Cornwall and Jeffrey Chen
Examples
1
ts_features(ts(rnorm(120, 10,10), freq=12))
DataScienceForPublicPolicy/hypML documentation built on Dec. 17, 2021, 4:06 p.m.
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Description Usage Arguments Value Author(s) Examples
Description
Returns a set of commonly used time series statistical tests and time series features.
Usage
1 | ts_features(series, cval = 0.05)
|
Arguments
series |
A time series object |
cval |
A critical value as a p-value |
Value
A data frame
Author(s)
Gary Cornwall and Jeffrey Chen
Examples
1 | ts_features(ts(rnorm(120, 10,10), freq=12))
|
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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