Visualize contact tracing data using a 'shiny' app and estimate the incubation or latency time of an infectious disease respecting the following characteristics in the analysis; (i) doubly interval censoring with (partly) overlapping or distinct windows; (ii) an infection risk corresponding to exponential growth; (iii) right truncation allowing for individual truncation times; (iv) different choices concerning the family of the distribution. For our earlier work, we refer to Arntzen et al. (2023) <doi:10.1002/sim.9726>. A paper describing our approach in detail will follow.
Version: 0.2.0 Depends: R (≥ 3.5.0) Imports: coda, flexsurv, ggplot2, rjags, magrittr, tidyverse, DT, epicontacts, lubridate, mStats, plotly, shiny, shinyWidgets, shinydashboard, shinythemes, visNetwork, xtable, dplyr, methods Suggests: testthat (≥ 3.0.0), shinytest Published: 2024-06-19 DOI: 10.32614/CRAN.package.doublIn Author: Vera Arntzen [aut, cre] Maintainer: Vera Arntzen <v.h.arntzen at math.leidenuniv.nl> License: GPL (≥ 3) NeedsCompilation: no CRAN checks: doublIn results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=doublIn to link to this page.
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