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bayestransmission  

Bayesian Transmission Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("bayestransmission", "0.1.0")



Attach the package and use:
library("bayestransmission")
Maintained by
Andrew Redd
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-01-15
Latest Update: 2026-01-15
Description:
Provides Bayesian inference methods for infectious disease transmission models in healthcare settings. Implements Markov Chain Monte Carlo (MCMC) algorithms for estimating transmission parameters from patient-level data including admission, discharge, and testing events as described in Thomas 'et al.' (2015) <doi:10.1093/imammb/dqt021>.
How to cite:
Andrew Redd (2026). bayestransmission: Bayesian Transmission Models. R package version 0.1.0, https://cran.r-project.org/web/packages/bayestransmission. Accessed 11 Jun. 2026.
Previous versions and publish date:
0.1.0 (2025-12-12 22:10)
Other packages that cited bayestransmission R package
View bayestransmission citation profile
Other R packages that bayestransmission depends, imports, suggests or enhances
Complete documentation for bayestransmission
Functions, R codes and Examples using the bayestransmission R package
Full bayestransmission package functions and examples
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