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Description

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.

phenesse

phenesse: Estimate phenological metrics using presence-only data

CRAN_Status_Badge DOI

The phenesse package provides tools in R to estimate phenological metrics using presence only data. The package includes a new Weibull-parameterized estimator described in Belitz et al. (2020) (https://doi.org/10.1111/2041-210X.13448). Additionally, the package provides a non-parametric bootstrap approach to estimating confidence intervals for this estimator as well as quantile and mean estimates.

Note that generating confidence intervals of a Weibull-parameterized estimate is very computationally expensive. We recommend exploring parallelization options when generating many CIs of Weibull-parameterized estimates. An example of parallelization can be found in the vignette.

Installation

CRAN

phenesse is available on CRAN. Install using install.packages("phenesse")

GitHub

The development version of phenesse is available on GitHub. To install without a vignette, use: devtools::install_github("mbelitz/phenessse")

Metadata

Version

0.1.2

License

Unknown

Platforms (75)

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