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VEwaning  

Vaccine Efficacy Over Time
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("VEwaning", "1.3")



Attach the package and use:
library("VEwaning")
Maintained by
Shannon T. Holloway
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-04-08
Latest Update: 2022-06-07
Description:
Implements methods for inference on potential waning of vaccine efficacy and for estimation of vaccine efficacy at a user-specified time after vaccination based on data from a randomized, double-blind, placebo-controlled vaccine trial in which participants may be unblinded and placebo subjects may be crossed over to the study vaccine.The methods also allow adjustment for possible confounding via inverse probability weighting through specification of models for the trial entry process, unblinding mechanisms, and the probability an unblinded placebo participant accepts study vaccine:Tsiatis, A. A. and Davidian, M. (2021) <doi:10.48550/arXiv.2102.13103> .
How to cite:
Shannon T. Holloway (2021). VEwaning: Vaccine Efficacy Over Time. R package version 1.3, https://cran.r-project.org/web/packages/VEwaning. Accessed 07 Nov. 2024.
Previous versions and publish date:
1.1 (2021-04-08 10:20), 1.2 (2022-06-07 14:00)
Other packages that cited VEwaning R package
View VEwaning citation profile
Other R packages that VEwaning depends, imports, suggests or enhances
Complete documentation for VEwaning
Functions, R codes and Examples using the VEwaning R package
Some associated functions: plot . print . ve . veWaning . veWaningData . 
Some associated R codes: entryFit.R . estimateb.R . estimateu.R . esttheta.R . gFunctions.R . plot.VEwaning.R . pre_dNYb.R . pre_dNYu.R . print.VEwaning.R . psiFit.R . ulbound.R . unblindFit.R . ve.R . veWaning.R . veWaningData.R .  Full VEwaning package functions and examples
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