Goodness-of-fit tests for selection of r in the r-largest order statistics (GEVr) model. Goodness-of-fit tests for threshold selection in the Generalized Pareto distribution (GPD). Random number generation and density functions for the GEVr distribution. Profile likelihood for return level estimation using the GEVr and Generalized Pareto distributions. P-value adjustments for sequential, multiple testing error control. Non-stationary fitting of GEVr and GPD.
| Version: | 0.2.4 |
| Depends: | R (≥ 2.10.0) |
| Imports: | Matrix, parallel, stats, graphics, utils, EnvStats |
| Suggests: | knitr, SpatialExtremes |
| Published: | 2016-09-20 |
| Author: | Brian Bader [aut, cre], Jun Yan [ctb] |
| Maintainer: | Brian Bader <brianbader at mail.com> |
| BugReports: | https://github.com/geekman1/eva_package/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/geekman1/eva_package |
| NeedsCompilation: | no |
| Citation: | eva citation info |
| CRAN checks: | eva results |
| Reference manual: | eva.pdf |
| Vignettes: |
Introduction to 'eva' and its capabilities |
| Package source: | eva_0.2.4.tar.gz |
| Windows binaries: | r-devel: eva_0.2.4.zip, r-release: eva_0.2.4.zip, r-oldrel: eva_0.2.4.zip |
| OS X El Capitan binaries: | r-release: eva_0.2.4.tgz |
| OS X Mavericks binaries: | r-oldrel: eva_0.2.4.tgz |
| Old sources: | eva archive |
| Reverse depends: | tea |
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