McDowellLab/loadflex: Models and Tools for Watershed Flux Estimates

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.

Getting started

Package details

AuthorAlison Appling, Miguel Leon
MaintainerAlison Appling <alison.appling@gmail.com>
LicenseCC0
Version1.2.0
URL https://github.com/USGS-R/loadflex
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("McDowellLab/loadflex")
McDowellLab/loadflex documentation built on May 8, 2019, 9:48 a.m.