gapfill_kalman: ARIMIA and Kalman Filter Gap Fill
In SuisunMarshBranch/wqptools: Outlier Detection Working Group Toolbox
Description
Usage
Arguments
Value
Description
Fill gaps in a timeseries by fitting an ARIMA model and applying
a Kalman filter.
Usage
1
gapfill_kalman(x, mask = is.na(x), ...)
Arguments
x
A vector of data with missing values.
mask
A logical mask that identifies a subgroup of x
to compute fill values for. Useful when a subset
of quality-assured data is available. Default action is to
only fill NA values.
...
Additional arguments to forecast::auto.arima().
Value
The original vector x with missing values imputed.
SuisunMarshBranch/wqptools documentation built on May 1, 2021, 2:21 a.m.
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Description Usage Arguments Value
Description
Fill gaps in a timeseries by fitting an ARIMA model and applying a Kalman filter.
Usage
1 | gapfill_kalman(x, mask = is.na(x), ...)
|
Arguments
x |
A vector of data with missing values. |
mask |
A logical mask that identifies a subgroup of |
... |
Additional arguments to |
Value
The original vector x with missing values imputed.
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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