interpolate_and_clean_missing: Remove leading values that are infinite or missing, and...
In reichlab/simplets: Simple models for time series forecasting
interpolate_and_clean_missing R Documentation
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
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
interpolate_and_clean_missing(y)
Arguments
y
a univariate time series or numeric vector
Value
a vector of the same class as y
reichlab/simplets documentation built on Sept. 16, 2024, 10:24 p.m.
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| interpolate_and_clean_missing | R Documentation |
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
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
interpolate_and_clean_missing(y)
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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