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.

Package details

AuthorSubir Hait [aut, cre] (ORCID: <https://orcid.org/0009-0004-9871-9677>)
MaintainerSubir Hait <haitsubi@msu.edu>
LicenseMIT + file LICENSE
Version0.1.0
URL https://github.com/causalfragility-lab/metaLong
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("metaLong")

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metaLong documentation built on March 31, 2026, 1:07 a.m.