Model-Averaged Renewal Process R package marp version 0.1.1 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. Software Depends: R (>= 2.15) Imports: stats, gtools, statmod, VGAM, Suggests: knitr, rmarkdown, devtools, roxygen2, testthat (>= 3.0.0) Veronica Tsou <wantungtsou@gmail.com> Comprehensive R Archive Network (CRAN) Jie Kang [aut], Chris Scott [aut], Vanessa Huang [aut], Veronica Tsou [aut, cre], Albert Savary [ctb] MIT + file LICENSE (https://CRAN.R-project.org/package=marp/LICENSE) 2026-08-21 application/tgz https://CRAN.R-project.org/package=marp doi:10.32614/CRAN.package.marp