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phenesse  

Estimate Phenological Metrics using Presence-Only Data
View on CRAN: Click here


Download and install phenesse package within the R console
Install from CRAN:
install.packages("phenesse")

Install from Github:
library("remotes")
install_github("cran/phenesse")

Install by package version:
library("remotes")
install_version("phenesse", "0.1.2")



Attach the package and use:
library("phenesse")
Maintained by
Michael Belitz
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-12-22
Latest Update: 2020-07-28
Description:
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.
How to cite:
Michael Belitz (2019). phenesse: Estimate Phenological Metrics using Presence-Only Data. R package version 0.1.2, https://cran.r-project.org/web/packages/phenesse. Accessed 25 May. 2025.
Previous versions and publish date:
0.1.0 (2019-12-22 17:00), 0.1.1 (2020-03-28 05:50)
Other packages that cited phenesse R package
View phenesse citation profile
Other R packages that phenesse depends, imports, suggests or enhances
Complete documentation for phenesse
Functions, R codes and Examples using the phenesse R package
Some associated functions: estimate_ci . inat_examples . mean_ci . quantile_ci . weib_percentile . weib_percentile_ci . 
Some associated R codes: inat_data.R . mean_ci.R . quantile_ci.R . utils.R . weib_percentile.R . weib_percentile_ci.R .  Full phenesse package functions and examples
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