Tools to support systematic and reproducible workflows for both stationary and nonstationary flood frequency analysis, with applications extending to other hydroclimate extremes, such as precipitation frequency analysis. This package implements the FFA framework proposed by Vidrio- Sahagún et al. (2024) <doi:10.1016/j.envsoft.2024.105940>, originally developed in MATLAB, now adapted for the R environment. This work was funded by the Flood Hazard Identification and Mapping Program of Environment and Climate Change Canada, as well as the Canada Research Chair (Tier 1) awarded to Dr. Pietroniro.
| Version: | 0.1.0 |
| Depends: | R (≥ 4.4.0) |
| Imports: | ggplot2, patchwork, httr, stats, glue, jsonlite, base64enc |
| Suggests: | knitr, rmarkdown, spelling, testthat, vdiffr |
| Published: | 2025-08-25 |
| Author: | Riley Wheadon [aut, cre], Cuauhtémoc Vidrio-Sahagún [aut], Alain Pietroniro [aut, fnd], Jianxun He [aut], Environment and Climate Change Canada (ECCC) [fnd] |
| Maintainer: | Riley Wheadon <rileywheadon at gmail.com> |
| BugReports: | https://github.com/rileywheadon/ffa-framework/issues |
| License: | AGPL (≥ 3) |
| URL: | https://rileywheadon.github.io/ffa-framework/ |
| NeedsCompilation: | no |
| Language: | en-US |
| Citation: | ffaframework citation info |
| CRAN checks: | ffaframework results |
| Reference manual: | ffaframework.html , ffaframework.pdf |
| Vignettes: |
Change Point Detection (source, R code) Nonstationary FFA (source, R code) Stationary FFA (source, R code) Trend Identification (Mean) (source, R code) Trend Identification (Variability) (source, R code) Using Wrapper Functions for Framework Orchestration (source, R code) |
| Package source: | ffaframework_0.1.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): ffaframework_0.1.0.tgz |
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