marp: Model-Averaged Renewal Process
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 |
| DOI: |
10.32614/CRAN.package.marp |
| 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 |
Documentation:
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