loess.opt: Fit LOESS with iterative K-fold Cross-validation
In arkansas-water-center/TAFA: Trend Analysis with Flow Adjustment
Description
Usage
Arguments
See Also
Description
Fine-tune LOESS via iterative K-fold CV. Used by tafa to flow-adjust concentrations.
Usage
1
loess.opt(x, y, control = tafa.control())
Arguments
x
A vector of the independent variable (i.e., log-Q)
y
A vector of the dependent variable (i.e., log-C)
control
The control parameters; see tafa.control
See Also
arkansas-water-center/TAFA documentation built on May 10, 2019, 1:28 p.m.
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Description Usage Arguments See Also
Description
Fine-tune LOESS via iterative K-fold CV. Used by tafa to flow-adjust concentrations.
Usage
1 | loess.opt(x, y, control = tafa.control())
|
Arguments
x |
A vector of the independent variable (i.e., log-Q) |
y |
A vector of the dependent variable (i.e., log-C) |
control |
The control parameters; see |
See Also
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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