metaLong: Longitudinal Meta-Analysis with Robust Variance Estimation and Sensitivity Analysis

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.

Version:	0.1.0
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
Published:	2026-03-30
DOI:	10.32614/CRAN.package.metaLong
Author:	Subir Hait [aut, cre]
Maintainer:	Subir Hait <haitsubi at msu.edu>
BugReports:	https://github.com/causalfragility-lab/metaLong/issues
License:	MIT + file LICENSE
URL:	https://github.com/causalfragility-lab/metaLong
NeedsCompilation:	no
CRAN checks:	metaLong results

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