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

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phenesse.pdf |phenesse.html✨
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NEWS

Peer review:

Bug tracker:https://github.com/mbelitz/phenesse/issues

On CRAN:

5 exports 0.00 score 7 dependencies 14 scripts 197 downloads

Last updated 4 years agofrom:9e5cf0c7a4. Checks:OK: 7. Indexed: yes.

Exports:estimate_cimean_ciquantile_ciweib_percentileweib_percentile_ci

Dependencies:bootfitdistrpluslatticeMASSMatrixrlangsurvival