The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

InSilicoVA: Probabilistic Verbal Autopsy Coding with 'InSilicoVA' Algorithm

Computes individual causes of death and population cause-specific mortality fractions using the 'InSilicoVA' algorithm from McCormick et al. (2016) <doi:10.1080/01621459.2016.1152191>. It uses data derived from verbal autopsy (VA) interviews, in a format similar to the input of the widely used 'InterVA' method. This package provides general model fitting and customization for 'InSilicoVA' algorithm and basic graphical visualization of the output.

Version: 1.4.0
Depends: R (≥ 3.5.0), rJava, coda, ggplot2, InterVA5
Imports: methods, grDevices
Suggests: testthat
Published: 2022-09-29
DOI: 10.32614/CRAN.package.InSilicoVA
Author: Zehang Richard Li, Tyler McCormick, Sam Clark
Maintainer: Zehang Richard Li <lizehang at gmail.com>
BugReports: https://github.com/verbal-autopsy-software/InSilicoVA/issues
License: GPL-2
URL: https://github.com/verbal-autopsy-software/InSilicoVA
NeedsCompilation: no
SystemRequirements: Java (>= 7)
Materials: NEWS
CRAN checks: InSilicoVA results

Documentation:

Reference manual: InSilicoVA.pdf

Downloads:

Package source: InSilicoVA_1.4.0.tar.gz
Windows binaries: r-devel: InSilicoVA_1.4.0.zip, r-release: InSilicoVA_1.4.0.zip, r-oldrel: InSilicoVA_1.4.0.zip
macOS binaries: r-release (arm64): InSilicoVA_1.4.0.tgz, r-oldrel (arm64): InSilicoVA_1.4.0.tgz, r-release (x86_64): InSilicoVA_1.4.0.tgz, r-oldrel (x86_64): InSilicoVA_1.4.0.tgz
Old sources: InSilicoVA archive

Reverse dependencies:

Reverse imports: openVA

Linking:

Please use the canonical form https://CRAN.R-project.org/package=InSilicoVA 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.