Understanding and accurately estimating epidemiological delay
distributions is important for public health policy. These estimates
influence epidemic situational awareness, control strategies,
and resource allocation. This package provides methods to address the
key challenges in estimating these distributions, including truncation,
interval censoring, and dynamical biases, following Park et al. (2024)
<doi:10.1101/2024.01.12.24301247> and Charniga et al. (2024)
<doi:10.1371/journal.pcbi.1012520>. These issues are frequently
overlooked, resulting in biased conclusions. Built on top of 'brms',
it allows for flexible modelling including time-varying and spatial
effects and partially pooled estimates of demographic characteristics.
| Version: |
1.0.0 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
brms (≥ 2.23.0), checkmate, cli, dplyr, lubridate, primarycensored (≥ 1.6.0), purrr, rstan (≥ 2.26.0), stats, tibble, tidyr, utils |
| Suggests: |
MASS, bayesplot, bookdown, collapse, distspec (≥ 0.2.0), flexsurv, ggplot2, knitr, loo, marginaleffects, patchwork, posterior, priorsense, reformulas, roxyglobals, scales, spelling, testthat (≥ 3.0.0), tidybayes, withr |
| Published: |
2026-10-13 |
| DOI: |
10.32614/CRAN.package.epidist (may not be active yet) |
| Author: |
Adam Howes  [aut],
Sang Woo Park
[aut],
Sam Abbott [aut,
cre, cph],
Sebastian Funk
[ctb] |
| Maintainer: |
Sam Abbott <contact at samabbott.co.uk> |
| BugReports: |
https://github.com/epinowcast/epidist/issues/ |
| License: |
MIT + file LICENSE |
| URL: |
https://epidist.epinowcast.org/,
https://github.com/epinowcast/epidist/ |
| NeedsCompilation: |
no |
| Language: |
en-GB |
| Citation: |
epidist citation info |
| Materials: |
README, NEWS |
| CRAN checks: |
epidist results |