impactflu v0.1.0

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by Arseniy Khvorov View Source

Quantification of Population-Level Impact of Vaccination

Implements the compartment model from Tokars (2018) <doi:10.1016/j.vaccine.2018.10.026>. This enables quantification of population-wide impact of vaccination against vaccine-preventable diseases such as influenza.

Readme

impactflu

The goal of impactflu is to provide functions to analyse the impact of influenza infections following from Tokars (2018)

Installation

You can install the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("khvorov45/impactflu")

References

Tokars JI, Rolfes MA, Foppa IM, Reed C. An evaluation and update of methods for estimating the number of influenza cases averted by vaccination in the United States. Vaccine. 2018;36(48):7331–7337. doi: 10.1016/j.vaccine.2018.10.026

Functions in impactflu

Name	Description
sim_reference	Simulate an ideal population
generate_counts	Generate normal counts
method1	Analysis methods from Tokars (2018)
generate_dates	Generate dates
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Details

License	MIT + file LICENSE
Encoding	UTF-8
LazyData	true
RoxygenNote	7.0.2
LinkingTo	Rcpp
NeedsCompilation	yes
Packaged	2020-01-10 20:14:47 UTC; khvorov45
Repository	CRAN
Date/Publication	2020-01-14 11:00:02 UTC

imports	dplyr , glue , lubridate , magrittr , Rcpp , rlang , tibble
depends	R (>= 3.6.0)
suggests	testthat (>= 2.1.0)
Contributors