interpolate_and_clean_missing: Remove leading values that are infinite or missing, and...
In reichlab/sarima-utils: SARIMA Models with Transformations and Seasonal Differencing
Description
Usage
Arguments
Value
Description
Remove leading values that are infinite or missing, and replace all internal
sequences of infinite or missing values by linearly interpolating between
the surrounding observed (finite) values. Used in prediction methods
Usage
1
Arguments
y
a univariate time series or numeric vector
Value
a vector of the same class as y
reichlab/sarima-utils documentation built on March 21, 2020, 3:45 a.m.
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Description Usage Arguments Value
Description
Remove leading values that are infinite or missing, and replace all internal sequences of infinite or missing values by linearly interpolating between the surrounding observed (finite) values. Used in prediction methods
Usage
1 |
Arguments
y |
a univariate time series or numeric vector |
Value
a vector of the same class as y
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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