WhiteLabRt
| REF | Li and White (2021) Zhou et al. (2022) |
| Docs | None |
| Github | https://github.com/cmilando/WhiteLabRt |
| Last commit | Aug 16, 2024 |
| Installation | CRAN |
Brief description
This package implements methods described in Li and White (2021) for backcalculation and nowcasting and Zhou et al. (2022) for small area estimation using mobility data. The package uses STAN to improve computational efficiency and stability. All methods are implemented in a Bayesian framework. Currently the package does not allow the user to incorporate both mobility data and do nowcasting and account for reporting delays.
Methods
This package contains the following methods:
Li and White (2021) - Adjustment for reporting delay and nowcasting estimates - this uses the fixed sliding windows appraoch to estimate \(R(t)\)
Zhou et al. (2022) - Mobility data in a hierarchical model to obtain spatially granular estimates. - this a weekly random walk to estimate \(R(t)\)
Assessment
| Features | |
| Ability to nowcast/forecast | Nowcasting, not forecasting |
| Incorporates delay distributions | No, but some functions that calculate a reporting delay distribution from missing line-list data |
| Estimates expected cases | Yes |
| Communicates uncertainty | Yes |
| Validation | |
| Documentation of package methods | Yes |
| Documentation of package implementation | Yes |
Sample code
See vignettes for back-calculation of missing reporting delay information and spatial R(t) between various regions