Estimate Phenological Metrics using Presence-Only Data R package phenesse version 0.1.3 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: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. Software Depends: R (>= 3.5) Imports: boot, fitdistrplus, stats Suggests: knitr, rmarkdown, testthat Michael Belitz <michaelbelitz06@gmail.com> Comprehensive R Archive Network (CRAN) Michael Belitz [aut, cre] (ORCID: <https://orcid.org/0000-0002-8162-5998>), Caitlin Campbell [ctb] (ORCID: <https://orcid.org/0000-0002-8199-7775>), Daijiang Li [ctb] (ORCID: <https://orcid.org/0000-0002-0925-3421>) CC0 2025-06-09 application/tgz https://CRAN.R-project.org/package=phenesse doi:10.32614/CRAN.package.phenesse