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CoTiMA (version 0.7.0)

Continuous Time Meta-Analysis ('CoTiMA')

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) .

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Version

Install

install.packages('CoTiMA')

Monthly Downloads

546

Version

0.7.0

License

GPL-3

Issues

Pull Requests

Stars

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Repository

https://github.com/CoTiMA/CoTiMA

Maintainer

Markus Homberg

Last Published

December 16th, 2023

Functions in CoTiMA (0.7.0)

CoTiMAInitFit_6

ctmaInit-object with 6 primary studies

ageSD128 example vector

addedByResearcher3

addedByResearcher3 example vector

burnout2 example vector

CoTiMAMod2on23Fit_6

ctmaFit-object with a continuous moderator of 2 cross effects

burnout201 example vector

country3 example vector

addedByResearcher313

addedByResearcher313 example vector

country201 example vector

A313 example matrix

ctmaOptimizeFit

ctmaOptimizeFit

ageSD313 example vector

ageSD32 example vector

addedByResearcher2

addedByResearcher2 example vector

CoTiMAInitFit_D_BO

ctmaInit-object created by Guthier et al. (2020) with 48 primary studies

CoTiMAMod1onFullFit_6

ctmaFit-object with a categorical moderator of the full drift matrix

CoTiMAInitFit_6_new

ctmaInit-object with 6 primary studies

CoTiMAInitFit_6_NUTS

ctmaInit-object with a 'full' CoTiMA of 6 studies using NUTS sampler

alphas128 example vector

CoTiMAstudyList_6_new

ctmaPrep-object created with 6 primary studies

alphas313 example vector

ageM201 example vector

ageM18 example vector

ageM2 example vector

ageM128 example vector

ageM313 example vector

delta_t128 example vector

delta_t32 example vector

delta_t18 example vector

ageM3 example vector

demands128 example vector

CoTiMAStanctArgs

This are preset arguments

ageSD18 example vector

CoTiMAstudyList_3

ctmaPrep-object created with 3 primary studies

CoTiMAoptimFit313

CoTiMAoptimFit313 example vector

burnout313 example vector

ageSD2 example vector

burnout3 example vector

CoTiMAstudyList_6

ctmaPrep-object created with 6 primary studies

burnout18 example vector

burnout128 example vector

country18 example vector

dl_link example path

empcov128 example matrix

ageSD3 example vector

country2 example vector

burnout32 example vector

combineVariables128

combineVariables128 example vector

ageSD201 example vector

combineVariablesNames128

combineVariablesNames128 example vector

country313 example vector

country32 example vector

country128 example vector

ctmaPlotCtsemMod

ctmaPlotCtsemMod

ctmaStanResample

ctmaStanResample

ctmaOptimizeInit

ctmaOptimizeInit

empcov313 example matrix

delta_t313 example vector

delta_t2 example vector

delta_t201 example vector

ctmaShapeRawData

ctmaShapeRawData

demands18 example vector

delta_t3 example vector

empcov32 example matrix

empcov2 example matrix

empcov18 example matrix

demands201 example vector

demands2 example vector

malePercent32 example vector

moderator128 example vector

moderatorLabels

moderatorLabels example vector

occupation2 example vector

moderatorValues

moderatorValues example vector

occupation201 example vector

demands3 example vector

empcov201 example matrix

empcov3 example matrix

rawData128 example list

source128 example vector

occupation3 example vector

occupation313 example vector

source313 example vector

source2 example vector

malePercent3 example vector

malePercent313 example vector

demands313 example vector

malePercent128 example vector

recodeVariables128

recodeVariables128 example vector

summary.CoTiMAFit

summary.CoTiMAFit

sampleSize2 example vector

malePercent18 example vector

occupation32 example vector

sampleSize18 example vector

targetVariables128

targetVariables128 example vector

targetVariables2

targetVariables2 example vector

demands32 example vector

malePercent2 example vector

pairwiseN128 example vector

variableNames128

variableNames128 example vector

moderator201 example vector

moderator3 example vector

moderator2 example vector

moderator18 example vector

malePercent201 example vector

occupation18 example vector

moderator32 example vector

moderator313 example vector

occupation128 example vector

pubList_8 example list

sampleSize3 example vector

results128 example list

source201 example vector

source3 example vector

sampleSize201 example vector

sampleSize128 example vector

sampleSize313 example vector

sampleSize32 example vector

targetVariables3

targetVariables3 example vector

targetVariables313

targetVariables313 example vector

CoTiMAMod1onFullFit_6_cats12

ctmaFit-object with a categorical moderator of the full drift matrix

A128 example matrix

CoTiMAInitFit_3

ctmaInit-object with of 3 primary studies

CoTiMAFullFit_6

ctmaFit-object with a 'full' CoTiMA of 6 studies

CoTiMAFullFit_6_new

ctmaFit-object with a 'full' CoTiMA of 6 studies

CoTiMAFullInv23Fit_6

1st fitted ctmaFit-object in a series of 2 to test equality of 2 cross effects

CoTiMAFullInvEq23Fit_6

2nd fitted ctmaFit-object in a series of 2 to test equality of 2 cross effects

ctmaBiG-object reproducing results of Guthier et al. (2020)

CoTiMAFullFit_3

ctmaFit-object with a 'full' CoTiMA of 3 studies

CoTiMAPart134Inv3Fit_6

ctmaFit-object with with only one cross effect and this one set equal across primary studies

CoTiMAPower_D_BO

ctmaPower-object reproducing results of Guthier et al. (2020)

ageM32 example vector