Distributional Cost-Effectiveness Analysis for Health Technology Assessment R package dceasimR version 0.1.0 Implements distributional cost-effectiveness analysis (DCEA) as described in Cookson et al. (2020, ISBN:9780198838197) and the methods endorsed by NICE (2025) for health technology evaluation. Provides functions for both aggregate and full-form DCEA, inequality measurement (Atkinson index, Gini coefficient, slope index of inequality, relative index of inequality), social welfare function evaluation, equity-efficiency impact plane visualisation, and sensitivity analysis over inequality aversion parameters. Includes baseline health distributions for England (by IMD quintile), Canada (income quintile), and global WHO regions. Suitable for academic research, health technology assessment submissions, and public health policy analysis. Software Depends: R (>= 4.1.0) Imports: ggplot2 (>= 3.4.0), dplyr (>= 1.1.0), rlang (>= 1.1.0), tibble (>= 3.2.0), scales (>= 1.3.0), stats Suggests: knitr, rmarkdown, testthat (>= 3.0.0), openxlsx, flextable, covr, vdiffr Shubhram Pandey <shubhram.pandey@heorlytics.com> Comprehensive R Archive Network (CRAN) Shubhram Pandey [aut, cre] (ORCID: <https://orcid.org/0009-0005-2303-1592>) MIT + file LICENSE (https://CRAN.R-project.org/package=dceasimR/LICENSE) 2026-04-21 application/tgz https://CRAN.R-project.org/package=dceasimR doi:10.32614/CRAN.package.dceasimR en-GB