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
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:

Reference manual: marp.pdf

Downloads:

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

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