rloadest-package: LOADEST functions for R
In USGS-R/rloadest: River Load Estimation
Description
Package: rloadest
Type: Package
License: CC0
LazyLoad: yes
Details
This package is intended to replicate and extend the LOADEST program for
estimating constituent loads in streams and rivers. Some subtle differences
between the output for LOADEST and rloadest include:
The least absolute deviation (LAD) method is not supported in rloadest.
LOADEST uses centered time when computing the sine and cosine terms in model
numbers 4, 6, 7, 8, and 9, but the functions in rloadest use the actual decimal
time so that the seasonality can more easily be assessed by the user.
The order of the terms in the predefined models is different between LOADEST
and the rloadest functions.
The printed output of the model descriptions from rloadest matches the format
the most users of R would recognize from other linear model output rather then
the printed output from LOADEST.
Furthermore, the model building capability in the rloadest functions make easier
to explore other forms of rating-curve models than LOADEST.
USGS-R/rloadest documentation built on Oct. 2, 2020, 5:21 a.m.
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Description
| Package: | rloadest |
| Type: | Package |
| License: | CC0 |
| LazyLoad: | yes |
Details
This package is intended to replicate and extend the LOADEST program for estimating constituent loads in streams and rivers. Some subtle differences between the output for LOADEST and rloadest include:
The least absolute deviation (LAD) method is not supported in rloadest.
LOADEST uses centered time when computing the sine and cosine terms in model numbers 4, 6, 7, 8, and 9, but the functions in rloadest use the actual decimal time so that the seasonality can more easily be assessed by the user.
The order of the terms in the predefined models is different between LOADEST and the rloadest functions.
The printed output of the model descriptions from rloadest matches the format the most users of R would recognize from other linear model output rather then the printed output from LOADEST.
Furthermore, the model building capability in the rloadest functions make easier to explore other forms of rating-curve models than LOADEST.
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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