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.

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 [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

Documentation:

Reference manual:	phenesse.pdf
Vignettes:	phenesse vignette

Downloads:

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 (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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=phenesse to link to this page.