Density strips and other methods for compactly illustrating distributions
Graphical methods for compactly illustrating probability distributions, including density strips, density regions, sectioned density plots and varying width strips.

Density strips and other methods for compactly illustrating
distributions
Graphical methods for compactly illustrating probability
distributions, including density strips, density regions,
sectioned density plots and varying width strips.

Density Strips and Other Methods for Compactly Illustrating
Distributions

Simple Dengue Test and Vaccinate Cost Thresholds
Carl A. B. Pearson <carl.pearson@lshtm.ac.uk>
Provides the mathematical model described by "Serostatus Testing & Dengue Vaccine Cost-Benefit Thresholds"
in <arXiv:1904.00214>.  Using the functions in the package,
that analysis can be repeated using sample life histories, either synthesized from local seroprevalence data
using other functions in this package (as in the manuscript) or from some other source.
The package provides a vignette which walks through the analysis in the publication, as well as a function
to generate a project skeleton for such an analysis.
data.table, testthat, usethis, devtools, roxygen2, jsonlite,
ggplot2, cowplot, directlabels, rmarkdown, knitr

c(
person("Carl A. B.", "Pearson", email="carl.pearson@lshtm.ac.uk", role = c("aut","cre"), comment = c(ORCID="0000-0003-0701-7860")),
person("Kaja M.", "Abbas", role = c("aut"), comment = c(ORCID="0000-0003-0563-1576")),
person("Samuel", "Clifford", role = c("aut"), comment = c(ORCID="0000-0002-3774-3882")),
person("Stefan", "Flasche", role = c("aut"), comment = c(ORCID="0000-0002-5808-2606")),
person("Thomas J.", "Hladish", role = c("aut"), comment = c(ORCID="0000-0003-1819-6235"))
)
Provides the mathematical model described by "Serostatus Testing & Dengue Vaccine Cost-Benefit Thresholds"
in <doi:10.1098/rsif.2019.0234>.  Using the functions in the package,
that analysis can be repeated using sample life histories, either synthesized from local seroprevalence data
using other functions in this package (as in the manuscript) or from some other source.
The package provides a vignette which walks through the analysis in the publication, as well as a function
to generate a project skeleton for such an analysis.