doublIn: Estimate Incubation or Latency Time using Doubly Interval Censored Observations

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>
License: GPL (≥ 3)
NeedsCompilation: no
CRAN checks: doublIn results


Reference manual: doublIn.pdf


Package source: doublIn_0.2.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): doublIn_0.2.0.tgz, r-oldrel (arm64): doublIn_0.2.0.tgz, r-release (x86_64): doublIn_0.2.0.tgz, r-oldrel (x86_64): doublIn_0.2.0.tgz
Old sources: doublIn archive


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