Simulated Pseudo-Individual Data Meta-Analysis with ABC-SMC R package spima version 0.2.0 Meta-analysis via Approximate Bayesian Computation Sequential Monte Carlo (ABC-SMC) by simulating pseudo-individual data from published group-level summary statistics. Handles binary, continuous, and generic effect-size outcomes within a one-stage mixed-model framework. Supports subgroup analysis. Software Depends: R (>= 3.5.0) Imports: lme4, parallel, stats, methods, Rcpp LinkingTo: Rcpp, RcppArmadillo Suggests: ggplot2, testthat, knitr, rmarkdown Yu Haichuan <yuhaichuan@whu.edu.cn> Comprehensive R Archive Network (CRAN) Yu Haichuan [aut, cre, cph] MIT + file LICENSE (https://CRAN.R-project.org/package=spima/LICENSE) 2026-05-28 application/tgz https://CRAN.R-project.org/package=spima doi:10.32614/CRAN.package.spima