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 math.leidenuniv.nl> |
| License: |
GPL (≥ 3) |
| NeedsCompilation: |
no |
| CRAN checks: |
doublIn results |
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