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doublIn  

Estimate Incubation or Latency Time using Doubly Interval Censored Observations
View on CRAN: Click here


Download and install doublIn package within the R console
Install from CRAN:
install.packages("doublIn")

Install from Github:
library("remotes")
install_github("cran/doublIn")

Install by package version:
library("remotes")
install_version("doublIn", "0.2.0")



Attach the package and use:
library("doublIn")
Maintained by
Vera Arntzen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-04-25
Latest Update: 2024-06-19
Description:
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.
How to cite:
Vera Arntzen (2024). doublIn: Estimate Incubation or Latency Time using Doubly Interval Censored Observations. R package version 0.2.0, https://cran.r-project.org/web/packages/doublIn. Accessed 26 Jun. 2026.
Previous versions and publish date:
0.1.0 (2024-04-25 18:00), 0.2.0 (2024-06-19 14:40)
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Complete documentation for doublIn
Functions, R codes and Examples using the doublIn R package
Full doublIn package functions and examples
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