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.
| Version: | 0.2.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | lme4, parallel, stats, methods, Rcpp |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | ggplot2, testthat, knitr, rmarkdown |
| Published: | 2026-05-28 |
| DOI: | 10.32614/CRAN.package.spima |
| Author: | Yu Haichuan [aut, cre, cph] |
| Maintainer: | Yu Haichuan <yuhaichuan at whu.edu.cn> |
| BugReports: | https://github.com/HaichuanYu0703/SPIMA/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/HaichuanYu0703/SPIMA |
| NeedsCompilation: | yes |
| SystemRequirements: | GNU make |
| Citation: | spima citation info |
| Materials: | README, NEWS |
| CRAN checks: | spima results |
| Reference manual: | spima.html , spima.pdf |
| Package source: | spima_0.2.0.tar.gz |
| Windows binaries: | r-devel: spima_0.2.0.zip, r-release: spima_0.2.0.zip, r-oldrel: spima_0.2.0.zip |
| macOS binaries: | r-release (arm64): spima_0.2.0.tgz, r-oldrel (arm64): spima_0.2.0.tgz, r-release (x86_64): spima_0.2.0.tgz, r-oldrel (x86_64): spima_0.2.0.tgz |
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