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.
- Version0.1.0
- R version≥ 2.15
- LicenseMIT
- LicenseLICENSE
- Needs compilation?No
- Last release08/11/2022
Documentation
Team
Jie Kang
Chris Scott
Show author detailsRolesContributorAlbert Savary
Show author detailsRolesContributor
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