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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.1 |
rolling linux/jammy R-4.5 | marp_0.1.1.tar.gz |
276.3 KiB |
0.1.1 |
rolling linux/noble R-4.5 | marp_0.1.1.tar.gz |
276.0 KiB |
0.1.1 |
rolling source/ R- | marp_0.1.1.tar.gz |
148.2 KiB |
0.1.1 |
latest linux/jammy R-4.5 | marp_0.1.1.tar.gz |
276.3 KiB |
0.1.1 |
latest linux/noble R-4.5 | marp_0.1.1.tar.gz |
276.0 KiB |
0.1.1 |
latest source/ R- | marp_0.1.1.tar.gz |
148.2 KiB |
0.1.1 |
2026-04-23 source/ R- | marp_0.1.1.tar.gz |
0 B |