Package: phenesse 0.1.2
phenesse: Estimate Phenological Metrics using Presence-Only Data
Generates Weibull-parameterized estimates of phenology for any percentile of a distribution using the framework established in Cooke (1979) <doi:10.1093/biomet/66.2.367>. Extensive testing against other estimators suggest the weib_percentile() function is especially useful in generating more accurate and less biased estimates of onset and offset (Belitz et al. 2020 <doi.org:10.1111/2041-210X.13448>. Non-parametric bootstrapping can be used to generate confidence intervals around those estimates, although this is computationally expensive. Additionally, this package offers an easy way to perform non-parametric bootstrapping to generate confidence intervals for quantile estimates, mean estimates, or any statistical function of interest.
Authors:
phenesse_0.1.2.tar.gz
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phenesse_0.1.2.tgz(r-4.4-any)phenesse_0.1.2.tgz(r-4.3-any)
phenesse_0.1.2.tar.gz(r-4.5-noble)phenesse_0.1.2.tar.gz(r-4.4-noble)
phenesse_0.1.2.tgz(r-4.4-emscripten)phenesse_0.1.2.tgz(r-4.3-emscripten)
phenesse.pdf |phenesse.html✨
phenesse/json (API)
NEWS
# Install 'phenesse' in R: |
install.packages('phenesse', repos = c('https://mbelitz.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mbelitz/phenesse/issues
- inat_examples - Example iNaturalist-sourced data
Last updated 4 years agofrom:9e5cf0c7a4. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 02 2024 |
R-4.5-win | OK | Nov 02 2024 |
R-4.5-linux | OK | Nov 02 2024 |
R-4.4-win | OK | Nov 02 2024 |
R-4.4-mac | OK | Nov 02 2024 |
R-4.3-win | OK | Nov 02 2024 |
R-4.3-mac | OK | Nov 02 2024 |
Exports:estimate_cimean_ciquantile_ciweib_percentileweib_percentile_ci