[aut, cre],
Caitlin Campbell
[ctb],
Daijiang Li [ctb]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.
| Version: | 0.1.2 |
| Depends: | R (≥ 3.5) |
| Imports: | boot, fitdistrplus, stats |
| Suggests: | knitr, rmarkdown, testthat |
| Published: | 2020-07-28 |
| Author: | Michael Belitz
[aut, cre],
Caitlin Campbell
[ctb],
Daijiang Li [ctb] |
| Maintainer: | Michael Belitz <mbelitz at ufl.edu> |
| BugReports: | https://github.com/mbelitz/phenesse/issues |
| License: | CC0 |
| URL: | https://github.com/mbelitz/phenesse |
| 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: phenesse_0.1.2.zip, r-release: phenesse_0.1.2.zip, r-oldrel: phenesse_0.1.2.zip |
| macOS binaries: | r-release: phenesse_0.1.2.tgz, r-oldrel: phenesse_0.1.2.tgz |
| Old sources: | phenesse archive |
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