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https://github.com/tetratech/baytrends
Evaluate long-term trends in the Chesapeake Bay using a Generalized Additive Modeling (GAM) approach
https://github.com/tetratech/baytrends
r-package
Last synced: 3 months ago
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Evaluate long-term trends in the Chesapeake Bay using a Generalized Additive Modeling (GAM) approach
- Host: GitHub
- URL: https://github.com/tetratech/baytrends
- Owner: tetratech
- Created: 2017-12-04T17:40:27.000Z (almost 7 years ago)
- Default Branch: main
- Last Pushed: 2024-07-26T13:58:32.000Z (4 months ago)
- Last Synced: 2024-08-08T02:41:15.737Z (3 months ago)
- Topics: r-package
- Language: HTML
- Homepage: https://tetratech.github.io/baytrends/
- Size: 71.4 MB
- Stars: 12
- Watchers: 4
- Forks: 4
- Open Issues: 14
-
Metadata Files:
- Readme: README.Rmd
- Changelog: NEWS
Awesome Lists containing this project
- open-sustainable-technology - baytrends - Evaluate long-term trends in the Chesapeake Bay using a Generalized Additive Modeling approach. (Hydrosphere / Coastal and Reefs)
README
---
output: github_document
---```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```# baytrends
[![CRAN status](https://www.r-pkg.org/badges/version/baytrends)](https://cran.r-project.org/package=baytrends)
Windows [![cran checks](https://badges.cranchecks.info/flavor/windows/baytrends.svg)](https://cran.r-project.org/web/checks/check_results_baytrends.html)
Linux [![cran checks](https://badges.cranchecks.info/flavor/linux/baytrends.svg)](https://cran.r-project.org/web/checks/check_results_baytrends.html)
OSX [![cran checks](https://badges.cranchecks.info/flavor/macos/baytrends.svg)](https://cran.r-project.org/web/checks/check_results_baytrends.html)[![Lifecycle: stable](https://img.shields.io/badge/lifecycle-stable-brightgreen.svg)](https://lifecycle.r-lib.org/articles/stages.html)
[![Maintenance](https://img.shields.io/badge/Maintained%3F-yes-green.svg)](https://GitHub.com/tetratech/baytrends/graphs/commit-activity)The baytrends package was developed to enable users to evaluate long-term trends
in the Chesapeake Bay using a Generalized Additive Modeling (GAM) approach. The
model development includes selecting a GAM structure to describe nonlinear
seasonally-varying changes over time, incorporation of hydrologic variability
via either a river flow or salinity, the use of an intervention to deal with
method or laboratory changes suspected to impact data values, and representation
of left- and interval-censored data. This approach, which is fully transferable
to other systems, allows for Chesapeake Bay water quality data to be evaluated
in a statistically rigorous, yet flexible way to provide insights to a range of
management- and research-focused questions.## Installation
The CRAN version of baytrends from [CRAN](https://CRAN.R-project.org)
can be installed with the code below.``` r
install.packages("baytrends")
```In some cases not all dependent packages are available on the user's system.
In these cases installing all dependencies is necessary.```r
install.packages("baytrends", dependencies = TRUE)
```The development version (with vignettes) from [GitHub](https://github.com/)
can be installed with the code example below using the `remotes` package.``` r
if(!require(remotes)){install.packages("remotes")} #install if needed
install_github("tetratech/baytrends", force = TRUE, build_vignettes = TRUE)
```