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CoTiMA  

Continuous Time Meta-Analysis ('CoTiMA')
View on CRAN: Click here


Download and install CoTiMA package within the R console
Install from CRAN:
install.packages("CoTiMA")

Install from Github:
library("remotes")
install_github("cran/CoTiMA")

Install by package version:
library("remotes")
install_version("CoTiMA", "0.8.0")



Attach the package and use:
library("CoTiMA")
Maintained by
Markus Homberg
[Scholar Profile | Author Map]
First Published: 2021-03-11
Latest Update: 2022-11-08
Description:
The 'CoTiMA' 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 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 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). See Dormann, C., Guthier, C., & Cortina, J. M. (2019) . and Guthier, C., Dormann, C., & Voelkle, M. C. (2020) .
How to cite:
Markus Homberg (2021). CoTiMA: Continuous Time Meta-Analysis ('CoTiMA'). R package version 0.8.0, https://cran.r-project.org/web/packages/CoTiMA. Accessed 06 May. 2025.
Previous versions and publish date:
0.3.6 (2021-03-11 10:50), 0.3.9 (2021-04-19 00:20), 0.4.0 (2021-05-20 10:00), 0.4.3 (2021-09-03 00:30), 0.4.4 (2021-10-12 10:20), 0.5.2 (2021-12-09 15:40), 0.5.4 (2022-01-20 11:32), 0.6.2 (2022-11-08 11:40), 0.7.0 (2023-12-16 13:40)
Other packages that cited CoTiMA R package
View CoTiMA citation profile
Other R packages that CoTiMA depends, imports, suggests or enhances
Complete documentation for CoTiMA
Functions, R codes and Examples using the CoTiMA R package
Some associated functions: A128 . A313 . CoTiMABiG_D_BO . CoTiMAFullFit_3 . CoTiMAFullFit_6 . CoTiMAFullFit_6_new . CoTiMAFullInv23Fit_6 . CoTiMAFullInvEq23Fit_6 . CoTiMAInitFit_3 . CoTiMAInitFit_6 . CoTiMAInitFit_6_NUTS . CoTiMAInitFit_6_new . CoTiMAInitFit_D_BO . CoTiMAMod1onFullFit_6 . CoTiMAMod1onFullFit_6_cats12 . CoTiMAMod2on23Fit_6 . CoTiMAPart134Inv3Fit_6 . CoTiMAPower_D_BO . CoTiMAStanctArgs . CoTiMAoptimFit313 . CoTiMAstudyList_3 . CoTiMAstudyList_6 . CoTiMAstudyList_6_new . addedByResearcher2 . addedByResearcher3 . addedByResearcher313 . ageM128 . ageM18 . ageM2 . ageM201 . ageM3 . ageM313 . ageM32 . ageSD128 . ageSD18 . ageSD2 . ageSD201 . ageSD3 . ageSD313 . ageSD32 . alphas128 . alphas313 . burnout128 . burnout18 . burnout2 . burnout201 . burnout3 . burnout313 . burnout32 . combineVariables128 . combineVariablesNames128 . country128 . country18 . country2 . country201 . country3 . country313 . country32 . ctmaAllInvFit . ctmaBiG . ctmaBiGOMX . ctmaCombPRaw . ctmaCompFit . ctmaCorRel . ctmaEmpCov . ctmaEqual . ctmaFit . ctmaFitList . ctmaFitToPrep . ctmaGetPub . ctmaInit . ctmaLabels . ctmaOptimizeFit . ctmaOptimizeInit . ctmaPRaw . ctmaPlot . ctmaPower . ctmaPrep . ctmaPub . ctmaSV . ctmaSaveFile . ctmaScaleInits . ctmaShapeRawData . ctmaStanResample . delta_t128 . delta_t18 . delta_t2 . delta_t201 . delta_t3 . delta_t313 . delta_t32 . demands128 . demands18 . demands2 . demands201 . demands3 . demands313 . demands32 . dl_link . empcov128 . empcov18 . empcov2 . empcov201 . empcov3 . empcov313 . empcov32 . malePercent128 . malePercent18 . malePercent2 . malePercent201 . malePercent3 . malePercent313 . malePercent32 . moderator128 . moderator18 . moderator2 . moderator201 . moderator3 . moderator313 . moderator32 . moderatorLabels . moderatorValues . occupation128 . occupation18 . occupation2 . occupation201 . occupation3 . occupation313 . occupation32 . pairwiseN128 . plot.CoTiMAFit . pubList_8 . rawData128 . recodeVariables128 . results128 . sampleSize128 . sampleSize18 . sampleSize2 . sampleSize201 . sampleSize3 . sampleSize313 . sampleSize32 . source128 . source2 . source201 . source3 . source313 . summary.CoTiMAFit . targetVariables128 . targetVariables2 . targetVariables3 . targetVariables313 . variableNames128 . 
Some associated R codes: ctmaAllInvFit.R . ctmaBiG.R . ctmaBiGOMX.R . ctmaCombPRaw.R . ctmaCompFit.R . ctmaCorRel.R . ctmaEmpCov.R . ctmaEqual.R . ctmaFit.R . ctmaFitList.R . ctmaFitToPrep.R . ctmaGetPub.R . ctmaInit.R . ctmaLabels.R . ctmaOptimizeFit.R . ctmaOptimizeInit.R . ctmaPRaw.R . ctmaPlot.R . ctmaPlotContainer.R . ctmaPower.R . ctmaPrep.R . ctmaPub.R . ctmaSV.R . ctmaSaveFile.R . ctmaScaleInits.R . ctmaShapeRawData.R . ctmaStanResample.R . ctmaStanctArgs.R . ctmaSummary.R . data.R .  Full CoTiMA package functions and examples
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