Package: agTrend.ssl 0.0.0.9005
agTrend.ssl: Aggregated Abundance Trends using GAMs
The package supplies a set of functions for stochastically imputing missing site-level abundance measurements so sites can be aggregated to regional abundance for trend estimation. This package is specifically intended for trend estimation for the NMFS Alaska Fisheries Science Center's assessment of Steller sea lion trends in Alaska and the U.S. west coast. Although the methodology is applicable to other applications, there are aspects of sea lion surveys hard coded into the analysis.
Authors:
agTrend.ssl_0.0.0.9005.tar.gz
agTrend.ssl_0.0.0.9005.zip(r-4.5)agTrend.ssl_0.0.0.9005.zip(r-4.4)agTrend.ssl_0.0.0.9005.zip(r-4.3)
agTrend.ssl_0.0.0.9005.tgz(r-4.4-any)agTrend.ssl_0.0.0.9005.tgz(r-4.3-any)
agTrend.ssl_0.0.0.9005.tar.gz(r-4.5-noble)agTrend.ssl_0.0.0.9005.tar.gz(r-4.4-noble)
agTrend.ssl_0.0.0.9005.tgz(r-4.4-emscripten)agTrend.ssl_0.0.0.9005.tgz(r-4.3-emscripten)
agTrend.ssl.pdf |agTrend.ssl.html✨
agTrend.ssl/json (API)
# Install 'agTrend.ssl' in R: |
install.packages('agTrend.ssl', repos = c('https://dsjohnson.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/dsjohnson/agtrend.ssl/issues
Last updated 6 months agofrom:6bb4ecfa71. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Sep 18 2024 |
R-4.5-win | OK | Sep 18 2024 |
R-4.5-linux | OK | Sep 18 2024 |
R-4.4-win | OK | Sep 18 2024 |
R-4.4-mac | OK | Sep 18 2024 |
R-4.3-win | OK | Sep 18 2024 |
R-4.3-mac | OK | Sep 18 2024 |
Exports:ag.abundag.summaryag.trendfit.gamproc.datasample.abund
Dependencies:BHcellrangerclicodacpp11crayondplyrfansigenericsgluehmslatticelifecyclemagrittrMatrixmgcvmvnfastnlmepillarpkgconfigprettyunitsprogresspurrrR6RcppRcppArmadilloreadxlrematchrlangstringistringrtibbletidyrtidyselectutf8vctrswithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Aggregate abundance samples | ag.abund |
Summarize count posterior distributions | ag.summary |
Estimate trends of aggregated abundance | ag.trend |
Fit penalized GAM to each site for missing data imputation | fit.gam |
Process SSL count data .xlsx file | proc.data |
Sample missing counts | sample.abund |