Package: spima
Title: Simulated Pseudo-Individual Data Meta-Analysis with ABC-SMC
Version: 0.2.0
Authors@R: c(
    person("Yu", "Haichuan", email="yuhaichuan@whu.edu.cn",
           role=c("aut", "cre", "cph"))
  )
Description: 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.
License: MIT + file LICENSE
Depends: R (>= 3.5.0)
Imports: lme4, parallel, stats, methods, Rcpp
Suggests: ggplot2, testthat, knitr, rmarkdown
LinkingTo: Rcpp, RcppArmadillo
SystemRequirements: GNU make
URL: https://github.com/HaichuanYu0703/SPIMA
BugReports: https://github.com/HaichuanYu0703/SPIMA/issues
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Config/roxygen2/version: 8.0.0
Packaged: 2026-05-21 09:13:32 UTC; yu-ha
Author: Yu Haichuan [aut, cre, cph]
Maintainer: Yu Haichuan <yuhaichuan@whu.edu.cn>
Repository: CRAN
Date/Publication: 2026-05-28 11:30:01 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2026-05-28 11:55:52 UTC; unix
Archs: spima.so.dSYM
