https://asmpro7.r-universe.devRecent package updates in asmpro7R-universehttps://github.com/asmpro7.pnghttps://asmpro7.r-universe.devThu, 22 Jan 2026 04:18:34 GMTahmedelsaeedmassad@gmail.com (Ahmed Abdelmageed)Conducting linear and nonlinear dose-response meta-regression using study-level summary data. It supports both continuous and binary outcomes and allows modeling of dose-effect relationships using linear trends or nonlinear restricted cubic splines. The package is designed to facilitate transparent, flexible, and reproducible dose-response meta-analyses, with built-in visualization of fitted dose-response curves.https://github.com/r-universe/asmpro7/actions/runs/26271011071Thu, 22 Jan 2026 04:18:34 GMTMetaDose1.0.1successhttps://asmpro7.r-universe.devhttps://github.com/asmpro7/metadoseahmedelsaeedmassad@gmail.com (Ahmed Abdelmageed)Performs meaningful subgrouping in a meta-analysis. This is a two-step process; first, use the iterative grouping functions (e.g., mgbin(), mgcont() ) to partition studies into statistically homogeneous clusters based on their effect size data. Second, use the meaning() function to analyze these new subgroups and understand their composition based on study-level characteristics (e.g., country, setting). This approach helps to uncover hidden structures in meta-analytic data and provide a deeper interpretation of heterogeneity.https://github.com/r-universe/asmpro7/actions/runs/25785077409Mon, 15 Sep 2025 08:02:23 GMTmetagroup1.0.2successhttps://asmpro7.r-universe.devhttps://github.com/asmpro7/metagroup