baytrends

Long Term Water Quality Trend Analysis

CRAN Package

Enable users to evaluate long-term trends 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. The approach has been applied to water quality data in the Chesapeake Bay, a major estuary on the east coast of the United States to provide insights to a range of management- and research-focused questions. Methodology described in Murphy (2019) doi:10.1016/j.envsoft.2019.03.027.

  • Version2.0.12
  • R versionunknown
  • LicenseGPL-3
  • Needs compilation?No
  • Last release07/26/2024

Documentation


Team


Insights

Last 30 days

This package has been downloaded 420 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 4 times.

Sun
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Sat
0 downloadsMar 2, 2025
0 downloadsMar 3, 2025
0 downloadsMar 4, 2025
31 downloadsMar 5, 2025
5 downloadsMar 6, 2025
12 downloadsMar 7, 2025
14 downloadsMar 8, 2025
6 downloadsMar 9, 2025
14 downloadsMar 10, 2025
22 downloadsMar 11, 2025
15 downloadsMar 12, 2025
15 downloadsMar 13, 2025
9 downloadsMar 14, 2025
29 downloadsMar 15, 2025
6 downloadsMar 16, 2025
20 downloadsMar 17, 2025
19 downloadsMar 18, 2025
9 downloadsMar 19, 2025
17 downloadsMar 20, 2025
12 downloadsMar 21, 2025
9 downloadsMar 22, 2025
10 downloadsMar 23, 2025
27 downloadsMar 24, 2025
5 downloadsMar 25, 2025
8 downloadsMar 26, 2025
11 downloadsMar 27, 2025
37 downloadsMar 28, 2025
7 downloadsMar 29, 2025
12 downloadsMar 30, 2025
6 downloadsMar 31, 2025
19 downloadsApr 1, 2025
10 downloadsApr 2, 2025
4 downloadsApr 3, 2025
0 downloadsApr 4, 2025
0 downloadsApr 5, 2025
4
37

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 5,762 times in the last 365 days. Impressive! The kind of number that makes colleagues ask, 'How did you do it?' The day with the most downloads was Sep 11, 2024 with 57 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Data provided by CRAN


Binaries


Dependencies

  • Imports13 packages
  • Suggests6 packages