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).
Version: 0.3.0 Depends: R (≥ 3.5.0) Imports: rstantools (≥ 2.1.1), methods, Rcpp (≥ 0.12.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.26.0), tidybayes (≥ 3.0.0), dplyr (≥ 1.0.7), rlang (≥ 0.4.0), tidyr (≥ 1.1.0), ggplot2 (≥ 3.0.0), gridExtra (≥ 2.0), scales (≥ 0.4.0), ggdist (≥ 3.0.0) 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) Suggests: rmarkdown, knitr, testthat Published: 2024-07-08 DOI: 10.32614/CRAN.package.surveil Author: Connor Donegan [aut, cre] Maintainer: Connor Donegan <connor.donegan at gmail.com> License: GPL (≥ 3) URL: https://connordonegan.github.io/surveil/, https://github.com/ConnorDonegan/surveil/ NeedsCompilation: yes SystemRequirements: GNU make Citation: surveil citation info Materials: README NEWS CRAN checks: surveil results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=surveil to link to this page.
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