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marp  

Model-Averaged Renewal Process
View on CRAN: Click here


Download and install marp package within the R console
Install from CRAN:
install.packages("marp")

Install from Github:
library("remotes")
install_github("cran/marp")

Install by package version:
library("remotes")
install_version("marp", "0.1.0")



Attach the package and use:
library("marp")
Maintained by
Jie Kang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-08-11
Latest Update: 2022-08-11
Description:
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.
How to cite:
Jie Kang (2022). marp: Model-Averaged Renewal Process. R package version 0.1.0, https://cran.r-project.org/web/packages/marp. Accessed 21 Nov. 2024.
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