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Models and Tools for Watershed Flux Estimates

Source: R/loadflex.R
loadflex-package.Rd

loadflex implements several of the most common methods for modeling and predicting watershed solute fluxes and concentrations, including interpolation and regression models, period-weighted averaging, and the composite method. Integrates seamlessly with the USGS's rloadest package and with native R regression models. Offers a uniform interface for any model type, with which you can quickly fit models, generate predictions, and aggregate to monthly or annual values.

Vignettes

  • `vignette('intro_to_loadflex', package='loadflex')`

Models

  • Linear and period-weighted interpolations: loadInterp

  • Generic regression-based models: loadModel

  • Regression-based models with the `rloadest` package: loadReg2

  • Composite-method-based models: loadComp

Predictions

  • Make predictions at the resolution of the predictor data or over longer time periods: predictSolute

Maintenance

Project funding has ended and our maintenance time is limited, but we do attempt to provide bug fixes and lightweight support as we are able. Submit questions or suggestions to https://github.com/DOI-USGS/loadflex/issues.

See also

Useful links:

Author

Maintainer: Alison P. Appling aappling@usgs.gov

Authors:

Other contributors:

  • Lindsay R. Carr [contributor]

  • W. David Watkins [contributor]