loadInterp-class: A load model class specific to interpolations for flux...
In McDowellLab/loadflex: Models and Tools for Watershed Flux Estimates
Description
loadInterps use a variety of interpolation methods to connect predictions of
y values (usually fluxes, concentrations, or residuals) over time.
Slots
fitthe interpolation model to be used.
MSEnumeric. The mean squared error, i.e., the variance of prediction
errors, probably as estimated by leave-one-out cross validation.
See Also
Other load.model.classes: loadComp-class,
loadLm-class,
loadModel-class,
loadReg2-class
McDowellLab/loadflex documentation built on May 8, 2019, 9:48 a.m.
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Description
loadInterps use a variety of interpolation methods to connect predictions of y values (usually fluxes, concentrations, or residuals) over time.
Slots
fitthe interpolation model to be used.
MSEnumeric. The mean squared error, i.e., the variance of prediction errors, probably as estimated by leave-one-out cross validation.
See Also
Other load.model.classes: loadComp-class,
loadLm-class,
loadModel-class,
loadReg2-class
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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