loadflex: Models and Tools for Watershed Flux Estimates

In McDowellLab/loadflex: Models and Tools for Watershed Flux Estimates

Description

Models and Tools for Watershed Flux Estimates

Models

• Linear and period-weighted interpolations: loadInterp

• Generic regression-based models: loadModel

• Regression-based models with rloadest (USGS, from LOADEST): loadReg2

• Composite-method-based models: loadComp

Predictions

• Make predictions at the resolution of the predictor data: predictSolute

• Collect predictions into means or totals over longer time periods: aggregateSolute

Installation

loadflex makes use of packages that are currently only available from GitHub or the USGS R package repository. To install these packages, run the following lines:

install.packages(c("smwrData", "smwrBase", "smwrGraphs", "smwrStats", "smwrQW", "rloadest", "unitted"), repos=c("https://owi.usgs.gov/R", "https://cran.rstudio.com"), dependencies=TRUE, type="both")

install.packages(c("car", "dplyr", "ggplot2", "lubridate", "MASS", "Matrix"), dependencies=TRUE, type="both")

You'll also need the 'devtools' package; see https://www.rstudio.com/products/rpackages/devtools/ for special instructions, and also run this command:

install.packages("devtools")

and lastly run this call to actually install 'loadflex':

devtools::install_github("USGS-R/loadflex")

McDowellLab/loadflex documentation built on May 8, 2019, 9:48 a.m.