Longitudinal Meta-Analysis with Robust Variance Estimation and Sensitivity Analysis R package metaLong version 0.1.0 Tools for longitudinal meta-analysis where studies contribute effect sizes at multiple follow-up time points. Implements robust variance estimation (RVE) with Tipton small-sample corrections following Hedges, Tipton, and Johnson (2010) <doi:10.1002/jrsm.5> and Tipton (2015) <doi:10.1037/met0000011>, time-varying sensitivity analysis via the Impact Threshold for a Confounding Variable (ITCV) following Frank (2000) <doi:10.1177/0049124100029002003>, benchmark calibration of the ITCV threshold against observed study-level covariates, spline-based nonlinear time-trend modeling with a nonlinearity test, and leave-k-out fragility analysis across the follow-up trajectory. Designed for researchers synthesising evidence from studies with repeated outcome measurement in education, psychology, health, and the social sciences. Software Depends: R (>= 4.1.0) Imports: metafor (>= 3.8-1), splines, stats, utils Suggests: clubSandwich (>= 0.5.10), testthat (>= 3.0.0), knitr, rmarkdown, ggplot2, dplyr Subir Hait <haitsubi@msu.edu> Comprehensive R Archive Network (CRAN) Subir Hait [aut, cre] (ORCID: <https://orcid.org/0009-0004-9871-9677>) MIT + file LICENSE (https://CRAN.R-project.org/package=metaLong/LICENSE) 2026-03-30 application/tgz https://CRAN.R-project.org/package=metaLong doi:10.32614/CRAN.package.metaLong