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.
- Version0.1.2
- R versionunknown
- LicenseCC0
- Needs compilation?No
- phenesse citation info
- Last release07/28/2020
Documentation
Team
Michael Belitz
Daijiang Li
Show author detailsRolesContributorCaitlin Campbell
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 168 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 10 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 2,221 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Sep 11, 2024 with 29 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Imports2 packages
- Suggests3 packages