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]

phenesse_0.1.2.tar.gz
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phenesse_0.1.2.tgz(r-4.4-any)phenesse_0.1.2.tgz(r-4.3-any)
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phenesse.pdf |phenesse.html
phenesse/json (API)
NEWS

# Install 'phenesse' in R:
install.packages('phenesse', repos = c('https://mbelitz.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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

Datasets:

On CRAN:

2.88 score 15 scripts 159 downloads 5 exports 7 dependencies

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

TargetResultDate
Doc / VignettesOKNov 02 2024
R-4.5-winOKNov 02 2024
R-4.5-linuxOKNov 02 2024
R-4.4-winOKNov 02 2024
R-4.4-macOKNov 02 2024
R-4.3-winOKNov 02 2024
R-4.3-macOKNov 02 2024

Exports:estimate_cimean_ciquantile_ciweib_percentileweib_percentile_ci

Dependencies:bootfitdistrpluslatticeMASSMatrixrlangsurvival

phenesse vignette

Rendered fromphenesse_vignette.Rmdusingknitr::rmarkdownon Nov 02 2024.

Last update: 2020-07-28
Started: 2019-12-22