reslr
Modelling Relative Sea Level Data
The Bayesian modelling of relative sea-level data using a comprehensive approach that incorporates various statistical models within a unifying framework. Details regarding each statistical models; linear regression (Ashe et al 2019) <doi:10.1016/j.quascirev.2018.10.032>, change point models (Cahill et al 2015) <doi:10.1088/1748-9326/10/8/084002>, integrated Gaussian process models (Cahill et al 2015) <doi:10.1214/15-AOAS824>, temporal splines (Upton et al 2023) <arXiv:2301.09556>, spatio-temporal splines (Upton et al 2023) <arXiv:2301.09556> and generalised additive models (Upton et al 2023) <arXiv:2301.09556>. This package facilitates data loading, model fitting and result summarisation. Notably, it accommodates the inherent measurement errors found in relative sea-level data across multiple dimensions, allowing for their inclusion in the statistical models.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.1 |
rolling linux/jammy R-4.5 | reslr_0.1.1.tar.gz |
2.7 MiB |
0.1.1 |
rolling linux/noble R-4.5 | reslr_0.1.1.tar.gz |
2.7 MiB |
0.1.1 |
rolling source/ R- | reslr_0.1.1.tar.gz |
2.6 MiB |
0.1.1 |
latest linux/jammy R-4.5 | reslr_0.1.1.tar.gz |
2.7 MiB |
0.1.1 |
latest linux/noble R-4.5 | reslr_0.1.1.tar.gz |
2.7 MiB |
0.1.1 |
latest source/ R- | reslr_0.1.1.tar.gz |
2.6 MiB |
0.1.1 |
2026-04-26 source/ R- | reslr_0.1.1.tar.gz |
2.6 MiB |
0.1.1 |
2026-04-23 source/ R- | reslr_0.1.1.tar.gz |
2.6 MiB |
0.1.1 |
2026-04-09 windows/windows R-4.5 | reslr_0.1.1.zip |
2.7 MiB |
0.1.1 |
2025-04-20 source/ R- | reslr_0.1.1.tar.gz |
2.6 MiB |