Homberg, M., & Dormann, C. (2021). CoTiMA: Continuous Time Meta-Analysis. R package version 0.3.6. https://CRAN.R-project.org/package=CoTiMA
Abstract: The CoTiMA R package performs meta-analyses of correlation matrices of repeatedly measured variables taken from studies that used different time intervals. Different time intervals between measurement occasions impose problems for meta-analyses because the effects (e.g. cross-lagged effects) cannot be simply aggregated, for example, by means of traditional fixed or random effects analysis. However, continuous time math, which is applied in CoTiMA, can be used to extrapolate or intrapolate the results from all studies to any desired time lag. By this, effects obtained in studies that used different time intervals can be meta-analyzed. CoTiMA fits models to empirical data using the structural equation model (SEM) package CTSEM, the effects specified in a SEM are related to parameters that are not directly included in the model (i.e., continuous time parameters; together, they represent the continuous time structural equation model, ctsem). Statistical model comparisons and significance tests are then performed on the continuous time parameter estimates. CoTiMA also allows analysis of publication bias (Egger's test, PET-PEESE estimates, zcurve analysis etc.) and analysis of statistical power (post hoc power, required sample sizes). A CoTiMA User Guide is delivered together with the package.