surveil
Time Series Models for Disease Surveillance
Fits time trend models for routine disease surveillance tasks and returns probability distributions for a variety of quantities of interest, including age-standardized rates, period and cumulative percent change, and measures of health inequality. The models are appropriate for count data such as disease incidence and mortality data, employing a Poisson or binomial likelihood and the first-difference (random-walk) prior for unknown risk. Optionally add a covariance matrix for multiple, correlated time series models. Inference is completed using Markov chain Monte Carlo via the Stan modeling language. References: Donegan, Hughes, and Lee (2022) <doi:10.2196/34589>; Stan Development Team (2021) <https://mc-stan.org>; Theil (1972, ISBN:0-444-10378-3).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.3.0 |
rolling linux/jammy R-4.5 | surveil_0.3.0.tar.gz |
1.5 MiB |
0.3.0 |
rolling linux/noble R-4.5 | surveil_0.3.0.tar.gz |
1.5 MiB |
0.3.0 |
rolling source/ R- | surveil_0.3.0.tar.gz |
625.9 KiB |
0.3.0 |
latest linux/jammy R-4.5 | surveil_0.3.0.tar.gz |
1.5 MiB |
0.3.0 |
latest linux/noble R-4.5 | surveil_0.3.0.tar.gz |
1.5 MiB |
0.3.0 |
latest source/ R- | surveil_0.3.0.tar.gz |
625.9 KiB |
0.3.0 |
2026-04-26 source/ R- | surveil_0.3.0.tar.gz |
625.9 KiB |
0.3.0 |
2026-04-23 source/ R- | surveil_0.3.0.tar.gz |
625.9 KiB |
0.3.0 |
2026-04-09 windows/windows R-4.5 | surveil_0.3.0.zip |
1.7 MiB |
0.3.0 |
2025-04-20 source/ R- | surveil_0.3.0.tar.gz |
625.9 KiB |
Dependencies (latest)
Imports
LinkingTo
- BH (>= 1.66.0)
- Rcpp (>= 0.12.0)
- RcppEigen (>= 0.3.3.3.0)
- RcppParallel (>= 5.0.1)
- rstan (>= 2.26.0)
- StanHeaders (>= 2.26.0)