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 <>. 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.

Version: 0.1.2
Depends: R (≥ 3.5)
Imports: boot, fitdistrplus, stats
Suggests: knitr, rmarkdown, testthat
Published: 2020-07-28
DOI: 10.32614/CRAN.package.phenesse
Author: Michael Belitz ORCID iD [aut, cre], Caitlin Campbell ORCID iD [ctb], Daijiang Li ORCID iD [ctb]
Maintainer: Michael Belitz <mbelitz at>
License: CC0
NeedsCompilation: no
Citation: phenesse citation info
Materials: README NEWS
CRAN checks: phenesse results


Reference manual: phenesse.pdf
Vignettes: phenesse vignette


Package source: phenesse_0.1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): phenesse_0.1.2.tgz, r-oldrel (arm64): phenesse_0.1.2.tgz, r-release (x86_64): phenesse_0.1.2.tgz, r-oldrel (x86_64): phenesse_0.1.2.tgz
Old sources: phenesse archive


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