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To implement a model-averaging approach with different renewal models, with a primary focus on forecasting large earthquakes. Based on six renewal models (i.e., Poisson, Gamma, Log-Logistics, Weibull, Log-Normal and BPT), model-averaged point estimates are calculated using AIC (or BIC) weights. Additionally, both percentile and studentized bootstrapped model-averaged confidence intervals are constructed. In comparison, point and interval estimation from the individual or "best" model (determined via model selection) can be retrieved.
| Version: | 0.1.0 |
| Depends: | R (≥ 2.15) |
| Imports: | stats, gtools, statmod, VGAM |
| Suggests: | knitr, devtools, roxygen2, testthat (≥ 3.0.0) |
| Published: | 2022-08-11 |
| Author: | Jie Kang [aut, cre, cph], Chris Scott [ctb], Albert Savary [ctb] |
| Maintainer: | Jie Kang <jkang at maths.otago.ac.nz> |
| BugReports: | https://github.com/kanji709/marp/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/kanji709/marp |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | marp results |
| Reference manual: | marp.pdf |
| Package source: | marp_0.1.0.tar.gz |
| Windows binaries: | r-devel: marp_0.1.0.zip, r-release: marp_0.1.0.zip, r-oldrel: marp_0.1.0.zip |
| macOS binaries: | r-release (arm64): marp_0.1.0.tgz, r-oldrel (arm64): marp_0.1.0.tgz, r-release (x86_64): marp_0.1.0.tgz, r-oldrel (x86_64): marp_0.1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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