Package: serocalculator
Type: Package
Title: Estimating Infection Rates from Serological Data
Version: 1.0.3
Authors@R: c(
  person(given = "Peter", family = "Teunis", email = "p.teunis@emory.edu", role = c("aut", "cph"), comment = "Author of the method and original code."),
  person(given = "Kristina", family = "Lai", email = "kwlai@ucdavis.edu", role = c("aut", "cre")), 
  person(given = "Chris", family = "Orwa", role = "aut"), 
  person(given = "Kristen", family = "Aiemjoy", email = "kaiemjoy@ucdavis.edu", role = c("aut")),
  person(given = "Douglas Ezra", family = "Morrison", email = "demorrison@ucdavis.edu", role = c("aut")))
Description: Translates antibody levels measured in cross-sectional population samples into estimates of the frequency with which seroconversions (infections) occur in the sampled populations. Replaces the previous 'seroincidence' package. Methods originally published in Simonsen et al. (2009) <doi:10.1002/sim.3592> and Teunis et al. (2012) <doi:10.1002/sim.5322>, and further developed in subsequent publications by de Graaf et al. (2014) <doi:10.1016/j.epidem.2014.08.002>, Teunis et al. (2016) <doi:10.1016/j.epidem.2016.04.001>, and Teunis et al. (2020) <doi:10.1002/sim.8578>.
Depends: R (>= 4.1.0)
License: GPL-3
Imports: doParallel, dplyr (>= 1.1.1), foreach, ggplot2, ggpubr,
        lifecycle, magrittr, mixtools, Rcpp, rlang, rngtools, scales,
        stats, tibble, tidyr, utils, cli
Suggests: parallel, knitr, rmarkdown, tidyverse, fs, testthat (>=
        3.0.0), readr, bookdown, ggbeeswarm, DT
Encoding: UTF-8
URL: https://github.com/UCD-SERG/serocalculator,
        https://ucd-serg.github.io/serocalculator/
RoxygenNote: 7.3.1
NeedsCompilation: yes
LinkingTo: Rcpp
Language: en-US
Config/testthat/edition: 3
Packaged: 2024-07-18 18:59:57 UTC; kwlai
Author: Peter Teunis [aut, cph] (Author of the method and original code.),
  Kristina Lai [aut, cre],
  Chris Orwa [aut],
  Kristen Aiemjoy [aut],
  Douglas Ezra Morrison [aut]
Maintainer: Kristina Lai <kwlai@ucdavis.edu>
Repository: CRAN
Date/Publication: 2024-07-21 15:40:02 UTC
