Calibration of Computer-Coded Verbal Autopsy Algorithm R package vacalibration version 2.2 Calibrates population-level cause-specific mortality fractions (CSMFs) that are derived using computer-coded verbal autopsy (CCVA) algorithms. Leveraging the data collected in the Child Health and Mortality Prevention Surveillance (CHAMPS;<https://champshealth.org/>) project, the package stores misclassification matrix estimates of three CCVA algorithms (EAVA, InSilicoVA, and InterVA) and two age groups (neonates aged 0-27 days, and children aged 1-59 months) across countries (specific estimates for Bangladesh, Ethiopia, Kenya, Mali, Mozambique, Sierra Leone, and South Africa, and a combined estimate for all other countries), enabling global calibration. These estimates are obtained using the framework proposed in Pramanik et al. (2025;<doi:10.1214/24-AOAS2006>) and are analyzed in Pramanik et al. (2026;<doi:10.1136/bmjgh-2025-021747>). Given VA-only data for an age group, CCVA algorithm, and country, the package utilizes the corresponding misclassification matrix estimate in the modular VA-Calibration framework (Pramanik et al.,2025;<doi:10.1214/24-AOAS2006>) and produces calibrated estimates of CSMFs. The package also supports ensemble calibration to accommodate multiple algorithms. More generally, this allows calibration of population-level prevalence derived from single-class predictions of discrete classifiers. For this, users need to provide fixed or uncertainty-quantified misclassification matrices. This work is supported by the Eunice Kennedy Shriver National Institute of Child Health K99 NIH Pathway to Independence Award (1K99HD114884-01A1), the Bill and Melinda Gates Foundation (INV-034842), and the Johns Hopkins Data Science and AI Institute. Software Depends: R (>= 3.5) Imports: rstan, openVA, parallel, ggplot2, patchwork, reshape2, LaplacesDemon, MASS Suggests: knitr, rmarkdown, Sandipan Pramanik <sandy.pramanik@gmail.com> Comprehensive R Archive Network (CRAN) Sandipan Pramanik [aut, cre] (ORCID: <https://orcid.org/0000-0002-7196-155X>), Emily Wilson [aut], Jacob Fiksel [aut], Brian Gilbert [aut], Abhirup Datta [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=vacalibration/LICENSE) 2026-03-20 application/tgz https://CRAN.R-project.org/package=vacalibration doi:10.32614/CRAN.package.vacalibration