margEVT: Regularized Point Processes and Stochastic Marginalization for Extremes
Implements a non-stationary extreme value analysis framework by coupling a covariate-driven Non-Homogeneous Poisson Process (NHPP) with Elastic-Net regularization and analytical gradients. Provides methods for estimating conditional return levels and unconditional (marginalized) return levels via parametric stochastic integration over stable Vector Autoregressive VAR(p) or univariate autoregressive covariate trajectories, or non-parametric annual-block resampling. Supports block-specific penalty controls, operational active-set thresholds, conditional parametric bootstrap inference, and walk-forward assessment.
| Version: | 0.3.0 |
| Imports: | stats, utils, vars |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2026-09-23 |
| DOI: | 10.32614/CRAN.package.margEVT |
| Author: | Rodrigo Fonseca Villa
 [aut, cre] |
| Maintainer: | Rodrigo Fonseca Villa <rodrigo03.villa at gmail.com> |
| BugReports: | https://github.com/rodrigosqrt3/margEVT/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/rodrigosqrt3/margEVT |
| NeedsCompilation: | no |
| Citation: | margEVT citation info |
| Materials: | README, NEWS |
| In views: | ExtremeValue |
| CRAN checks: | margEVT results |
Documentation:
| Reference manual: | margEVT.html , margEVT.pdf |
Downloads:
| Package source: | margEVT_0.3.0.tar.gz |
| Windows binaries: | r-devel: margEVT_0.2.0.zip, r-release: margEVT_0.2.0.zip, r-oldrel: margEVT_0.2.0.zip |
| macOS binaries: | r-release (arm64): margEVT_0.3.0.tgz, r-oldrel (arm64): margEVT_0.3.0.tgz, r-release (x86_64): margEVT_0.3.0.tgz, r-oldrel (x86_64): margEVT_0.3.0.tgz |
| Old sources: | margEVT archive |
Linking:
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