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spima  

Simulated Pseudo-Individual Data Meta-Analysis with ABC-SMC
View on CRAN: Click here


Download and install spima package within the R console
Install from CRAN:
install.packages("spima")

Install from Github:
library("remotes")
install_github("cran/spima")

Install by package version:
library("remotes")
install_version("spima", "0.2.0")



Attach the package and use:
library("spima")
Maintained by
Yu Haichuan
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-05-28
Latest Update: 2026-05-28
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.
How to cite:
Yu Haichuan (2026). spima: Simulated Pseudo-Individual Data Meta-Analysis with ABC-SMC. R package version 0.2.0, https://cran.r-project.org/web/packages/spima. Accessed 08 Oct. 2026.
Previous versions and publish date:
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Complete documentation for spima
Functions, R codes and Examples using the spima R package
Full spima package functions and examples
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