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) . 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.


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install.packages("phenesse")

0.1.2 by Michael Belitz, 3 months ago


https://github.com/mbelitz/phenesse


Report a bug at https://github.com/mbelitz/phenesse/issues


Browse source code at https://github.com/cran/phenesse


Authors: Michael Belitz [aut, cre] , Caitlin Campbell [ctb] , Daijiang Li [ctb]


Documentation:   PDF Manual  


CC0 license


Imports boot, fitdistrplus, stats

Suggests knitr, rmarkdown, testthat


See at CRAN