The 'CoTiMA' package performs metaanalyses of correlation matrices of repeatedly measured variables taken from studies that used different time intervals. Different time intervals between measurement occasions impose problems for metaanalyses because the effects (e.g. crosslagged effects) cannot be simply aggregated, for example, by means of common 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 metaanalyzed. '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, PETPEESE estimates, zcurve analysis etc.) and analysis of statistical power (post hoc power, required sample sizes). See Dormann, C., Guthier, C., & Cortina, J. M. (2019) <doi:10.1177/1094428119847277>. and Guthier, C., Dormann, C., & Voelkle, M. C. (2020) <doi:10.1037/bul0000304>.
Package details 


Author  Christian Dormann [aut, cph], Markus Homberg [aut, com, cre], Olga Diener [ctb], Christina Guthier [ctb], Manuel Voelkle [ctb] 
Maintainer  Markus Homberg <cotima@unimainz.de> 
License  GPL3 
Version  0.8.0 
URL  https://github.com/CoTiMA/CoTiMA 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

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