doublIn: Estimate Incubation or Latency Time using Doubly IntervalCensored 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 math.leidenuniv.nl> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| CRAN checks: | doublIn results |
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