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WhiteLabRt  

Novel Methods for Reproduction Number Estimation, Back-Calculation, and Forecasting
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("WhiteLabRt", "1.0.1")



Attach the package and use:
library("WhiteLabRt")
Maintained by
Chad Milando
[Scholar Profile | Author Map]
First Published: 2024-07-31
Latest Update: 2024-07-31
Description:
A collection of functions related to novel methods for estimating R(t), created by the lab of Professor Laura White. Currently implemented methods include two-step Bayesian back-calculation and now-casting for line-list data with missing reporting delays, adapted in 'STAN' from Li (2021) <doi:10.1371/journal.pcbi.1009210>, and calculation of time-varying reproduction number assuming a flux between various adjacent states, adapted into 'STAN' from Zhou (2021) <doi:10.1371/journal.pcbi.1010434>.
How to cite:
Chad Milando (2024). WhiteLabRt: Novel Methods for Reproduction Number Estimation, Back-Calculation, and Forecasting. R package version 1.0.1, https://cran.r-project.org/web/packages/WhiteLabRt. Accessed 17 Feb. 2025.
Previous versions and publish date:
1.0 (2024-07-31 12:10)
Other packages that cited WhiteLabRt R package
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Complete documentation for WhiteLabRt
Functions, R codes and Examples using the WhiteLabRt R package
Full WhiteLabRt package functions and examples
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