evmissing
1.0.2Extreme Value Analyses with Missing Data
Overview
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.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 80%
- Return-value docs
- 100%
- References docs
- 32%
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Dependencies
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Code & Tests
Datasets
People & History
3 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 1.0.2Latest
- 1.0.12026-01-28 · diff ↗
- 1.0.02026-01-08
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2026-01-08
- Total releases
- 3 / 1 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 4.1.0
- Bundled data
- 44 KB / 7 files
- Download size
- 154 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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