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 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:	0.1.1
Depends:	R (≥ 2.15)
Imports:	stats, gtools, statmod, VGAM
Suggests:	knitr, rmarkdown, devtools, roxygen2, testthat (≥ 3.0.0)
Published:	2026-08-21
DOI:	10.32614/CRAN.package.marp
Author:	Jie Kang [aut], Chris Scott [aut], Vanessa Huang [aut], Veronica Tsou [aut, cre], Albert Savary [ctb]
Maintainer:	Veronica Tsou <wantungtsou at gmail.com>
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.html , marp.pdf
Vignettes:	A workflow for model-averaged renewal-process inference with marp (source, R code)

Downloads:

Package source:	marp_0.1.1.tar.gz
Windows binaries:	r-devel: marp_0.1.1.zip, r-release: marp_0.1.1.zip, r-oldrel: marp_0.1.1.zip
macOS binaries:	r-release (arm64): marp_0.1.1.tgz, r-oldrel (arm64): marp_0.1.1.tgz, r-release (x86_64): marp_0.1.1.tgz, r-oldrel (x86_64): marp_0.1.1.tgz
Old sources:	marp archive

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