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: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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.3 |
rolling linux/jammy R-4.5 | phenesse_0.1.3.tar.gz |
46.3 KiB |
0.1.3 |
rolling linux/noble R-4.5 | phenesse_0.1.3.tar.gz |
46.4 KiB |
0.1.3 |
rolling source/ R- | phenesse_0.1.3.tar.gz |
23.2 KiB |
0.1.3 |
latest linux/jammy R-4.5 | phenesse_0.1.3.tar.gz |
46.3 KiB |
0.1.3 |
latest linux/noble R-4.5 | phenesse_0.1.3.tar.gz |
46.4 KiB |
0.1.3 |
latest source/ R- | phenesse_0.1.3.tar.gz |
23.2 KiB |
0.1.3 |
2026-04-26 source/ R- | phenesse_0.1.3.tar.gz |
23.2 KiB |
0.1.3 |
2026-04-23 source/ R- | phenesse_0.1.3.tar.gz |
23.2 KiB |
0.1.3 |
2026-04-09 windows/windows R-4.5 | phenesse_0.1.3.zip |
51.9 KiB |
0.1.2 |
2025-04-20 source/ R- | phenesse_0.1.2.tar.gz |
21.6 KiB |