Movatterモバイル変換


[0]ホーム

URL:


vacalibration: Calibration of Computer-Coded Verbal Autopsy Algorithm

Calibrates cause-specific mortality fractions (CSMF) estimates generated by computer-coded verbal autopsy (CCVA) algorithms from WHO-standardized verbal autopsy (VA) survey data. It leverages data from the multi-country Child Health and Mortality Prevention Surveillance (CHAMPS) project <https://champshealth.org/>, which determines gold standard causes of death via Minimally Invasive Tissue Sampling (MITS). By modeling the CHAMPS data using the misclassification matrix modeling framework proposed in Pramanik et al. (2025, <doi:10.1214/24-AOAS2006>), the package includes an inventory of 48 uncertainty-quantified misclassification matrices for three CCVA algorithms (EAVA, InSilicoVA, InterVA), two age groups (neonates aged 0-27 days and children aged 1-59 months), and eight "countries" (seven countries in CHAMPS – Bangladesh, Ethiopia, Kenya, Mali, Mozambique, Sierra Leone, South Africa – and an estimate for countries not in CHAMPS). Given a VA-only data for an age group, CCVA algorithm, and country, the package uses the corresponding uncertainty-quantified misclassification matrix estimates as an informative prior, and utilizes the modular VA-calibration to produce calibrated CSMF estimates. It also supports ensemble calibration when VA-only data are provided for multiple algorithms. More generally, the package can be applied to calibrate predictions from a discrete classifier (or ensemble of classifiers) utilizing user-provided fixed or uncertainty-quantified misclassification matrices. This work is supported by the Bill and Melinda Gates Foundation Grant INV-034842.

Version:2.0
Depends:R (≥ 3.5)
Imports:rstan,ggplot2,loo,patchwork,reshape2
Suggests:knitr,rmarkdown
Published:2025-07-24
DOI:10.32614/CRAN.package.vacalibration
Author:Sandipan PramanikORCID iD [aut, cre], Emily Wilson [aut], Jacob Fiksel [aut], Brian Gilbert [aut], Abhirup Datta [aut]
Maintainer:Sandipan Pramanik <sandy.pramanik at gmail.com>
License:GPL-2
NeedsCompilation:no
CRAN checks:vacalibration results

Documentation:

Reference manual:vacalibration.html ,vacalibration.pdf
Vignettes:Vignette for 'vacalibration' (source,R code)

Downloads:

Package source: vacalibration_2.0.tar.gz
Windows binaries: r-devel:vacalibration_2.0.zip, r-release:vacalibration_2.0.zip, r-oldrel:vacalibration_2.0.zip
macOS binaries: r-release (arm64):vacalibration_2.0.tgz, r-oldrel (arm64):vacalibration_2.0.tgz, r-release (x86_64):vacalibration_2.0.tgz, r-oldrel (x86_64):vacalibration_2.0.tgz

Reverse dependencies:

Reverse suggests:openVA

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=vacalibrationto link to this page.


[8]ページ先頭

©2009-2025 Movatter.jp