evmissing
Extreme Value Analyses with Missing Data
Performs likelihood-based extreme value inferences with adjustment for the presence of missing values based on Simpson and Northrop (2026) <doi:10.1002/env.70075>. A Generalised Extreme Value distribution is fitted to block maxima using maximum likelihood estimation, with the location and scale parameters reflecting the numbers of non-missing raw values in each block. A Bayesian version is also provided. For the purposes of comparison, there are options to make no adjustment for missing values or to discard any block maximum for which greater than a percentage of the underlying raw values are missing. Example datasets containing missing values are provided.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.2 |
rolling source/ R- | evmissing_1.0.2.tar.gz |
154.0 KiB |
1.0.2 |
latest source/ R- | evmissing_1.0.2.tar.gz |
154.0 KiB |
1.0.2 |
2026-04-23 source/ R- | evmissing_1.0.2.tar.gz |
154.0 KiB |
1.0.2 |
2026-04-09 windows/windows R-4.5 | evmissing_1.0.2.zip |
335.9 KiB |