regularization: Internal functions to create a regularized flow dataset using...
In pkuhnert/LRE: Loads Regression Estimator
Description
Creates a regularised flow dataset
using a smoothing spline or rainfall record using
Random Forests. Predictions produced from the smoothing
splint approach are capped to the
median within year to ensure predictions do not
go outside the range of the raw data.
Usage
1
2
3
regularizeFlowSS(Q, Qreg)
regularizeFlowR(rainfall, dateTimeRainfall, flow, dateTimeFlow)
Arguments
Q
Q
Qreg
Qreg
rainfall
rainfall
dateTimeRainfall
dateTimeRainfall
flow
flow
dateTimeFlow
dateTimeFlow
pkuhnert/LRE documentation built on March 4, 2021, 2:50 a.m.
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Description
Creates a regularised flow dataset using a smoothing spline or rainfall record using Random Forests. Predictions produced from the smoothing splint approach are capped to the median within year to ensure predictions do not go outside the range of the raw data.
Usage
1 2 3 | regularizeFlowSS(Q, Qreg)
regularizeFlowR(rainfall, dateTimeRainfall, flow, dateTimeFlow)
|
Arguments
Q |
Q |
Qreg |
Qreg |
rainfall |
rainfall |
dateTimeRainfall |
dateTimeRainfall |
flow |
flow |
dateTimeFlow |
dateTimeFlow |
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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