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dampack: Decision-Analytic Modeling Package

A suite of functions for analyzing and visualizing the health economic outputs of mathematical models. This package was developed with funding from the National Institutes of Allergy and Infectious Diseases of the National Institutes of Health under award no. R01AI138783. The content of this package is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. The theoretical underpinnings of 'dampack”s functionality are detailed in Hunink et al. (2014) <doi:10.1017/CBO9781139506779>.

Version: 1.0.2.1000
Depends: R (≥ 3.5), ggplot2 (≥ 3.3.0)
Imports: ellipse, dplyr, scales, stringr, mgcv, truncnorm, triangle, ggrepel, tidyr, rlang
Suggests: testthat, lintr, knitr, rmarkdown, kableExtra
Published: 2024-09-30
DOI: 10.32614/CRAN.package.dampack
Author: Fernando Alarid-Escudero ORCID iD [aut], Greg Knowlton [aut], Caleb W. Easterly ORCID iD [aut], David Garibay [ctb, cre], Eva Enns ORCID iD [aut]
Maintainer: David Garibay <dgari039 at uottawa.ca>
BugReports: https://github.com/DARTH-git/dampack/issues
License: GPL-3
URL: https://github.com/DARTH-git/dampack
NeedsCompilation: no
Citation: dampack citation info
Materials: README NEWS
CRAN checks: dampack results

Documentation:

Reference manual: dampack.pdf
Vignettes: Basic Cost Effectiveness Analysis (source, R code)
Deterministic Sensitivity Analysis: Generation (source, R code)
Probabilistic Sensitivity Analysis: Analysis (source, R code)
Probabilistic Sensitivity Analysis: Generation (source, R code)
Value of Information Analysis (source, R code)

Downloads:

Package source: dampack_1.0.2.1000.tar.gz
Windows binaries: r-devel: dampack_1.0.2.1000.zip, r-release: dampack_1.0.2.1000.zip, r-oldrel: dampack_1.0.2.1000.zip
macOS binaries: r-release (arm64): dampack_1.0.2.1000.tgz, r-oldrel (arm64): dampack_1.0.2.1000.tgz, r-release (x86_64): dampack_1.0.2.1000.tgz, r-oldrel (x86_64): dampack_1.0.2.1000.tgz
Old sources: dampack archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=dampack to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.