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) . A paper describing our approach in detail will follow.


Reference manual

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install.packages("doublIn")

0.2.0 by Vera Arntzen, 2 years ago


Browse source code at https://github.com/cran/doublIn


Authors: Vera Arntzen [aut, cre]


Documentation:   PDF Manual  


GPL (>= 3) license


Imports coda, flexsurv, ggplot2, rjags, magrittr, tidyverse, DT, epicontacts, lubridate, mStats, plotly, shiny, shinyWidgets, shinydashboard, shinythemes, visNetwork, xtable, dplyr, methods

Suggests testthat, shinytest


See at CRAN