Package: CoTiMA 0.8.0
CoTiMA: Continuous Time Meta-Analysis ('CoTiMA')
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) <doi:10.1177/1094428119847277>. and Guthier, C., Dormann, C., & Voelkle, M. C. (2020) <doi:10.1037/bul0000304>.
Authors:
CoTiMA_0.8.0.tar.gz
CoTiMA_0.8.0.zip(r-4.5)CoTiMA_0.8.0.zip(r-4.4)CoTiMA_0.8.0.zip(r-4.3)
CoTiMA_0.8.0.tgz(r-4.4-any)CoTiMA_0.8.0.tgz(r-4.3-any)
CoTiMA_0.8.0.tar.gz(r-4.5-noble)CoTiMA_0.8.0.tar.gz(r-4.4-noble)
CoTiMA_0.8.0.tgz(r-4.4-emscripten)CoTiMA_0.8.0.tgz(r-4.3-emscripten)
CoTiMA.pdf |CoTiMA.html✨
CoTiMA/json (API)
| # Install 'CoTiMA' in R: |
| install.packages('CoTiMA', repos = c('https://cotima.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/cotima/cotima/issues
- A128 - A128 example matrix
- A313 - A313 example matrix
- CoTiMABiG_D_BO - CtmaBiG-object reproducing results of Guthier et al.
- CoTiMAFullFit_3 - CtmaFit-object with a 'full' CoTiMA of 3 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
- CoTiMAInitFit_3 - CtmaInit-object with of 3 primary studies
- CoTiMAInitFit_6 - CtmaInit-object with 6 primary studies
- CoTiMAInitFit_6_NUTS - CtmaInit-object with a 'full' CoTiMA of 6 studies using NUTS sampler
- CoTiMAInitFit_6_new - CtmaInit-object with 6 primary studies
- 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
- CoTiMAMod1onFullFit_6_cats12 - CtmaFit-object with a categorical moderator of the full drift matrix
- CoTiMAMod2on23Fit_6 - CtmaFit-object with a continuous moderator of 2 cross effects
- 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.
- CoTiMAstudyList_3 - CtmaPrep-object created with 3 primary studies
- CoTiMAstudyList_6 - CtmaPrep-object created with 6 primary studies
- CoTiMAstudyList_6_new - CtmaPrep-object created with 6 primary studies
- ageM1 - AgeM1 example vector
- ageM128 - AgeM128 example vector
- ageM18 - AgeM18 example vector
- ageM201 - AgeM201 example vector
- ageM313 - AgeM313 example vector
- ageM32 - AgeM32 example vector
- ageM4 - AgeM4 example vector
- ageSD1 - AgeSD1 example vector
- ageSD128 - AgeSD128 example vector
- ageSD18 - AgeSD18 example vector
- ageSD201 - AgeSD201 example vector
- ageSD313 - AgeSD313 example vector
- ageSD32 - AgeSD32 example vector
- ageSD4 - AgeSD4 example vector
- alphas128 - Alphas128 example vector
- alphas313 - Alphas313 example vector
- burnout1 - Burnout1 example vector
- burnout128 - Burnout128 example vector
- burnout18 - Burnout18 example vector
- burnout201 - Burnout201 example vector
- burnout313 - Burnout313 example vector
- burnout32 - Burnout32 example vector
- burnout4 - Burnout4 example vector
- combineVariables128 - CombineVariables128 example vector
- combineVariablesNames128 - CombineVariablesNames128 example vector
- country1 - Country1 example vector
- country128 - Country128 example vector
- country18 - Country18 example vector
- country201 - Country201 example vector
- country313 - Country313 example vector
- country32 - Country32 example vector
- country4 - Country4 example vector
- delta_t1 - Delta_t1 example vector
- delta_t128 - Delta_t128 example vector
- delta_t18 - Delta_t18 example vector
- delta_t201 - Delta_t201 example vector
- delta_t228 - Delta_t228 example vector
- delta_t313 - Delta_t313 example vector
- delta_t32 - Delta_t32 example vector
- delta_t4 - Delta_t4 example vector
- demands1 - Demands1 example vector
- demands128 - Demands128 example vector
- demands18 - Demands18 example vector
- demands201 - Demands201 example vector
- demands313 - Demands313 example vector
- demands32 - Demands32 example vector
- demands4 - Demands4 example vector
- dl_link - Dl_link example path
- empcov1 - Empcov1 example matrix
- empcov128 - Empcov128 example matrix
- empcov18 - Empcov18 example matrix
- empcov201 - Empcov201 example matrix
- empcov313 - Empcov313 example matrix
- empcov32 - Empcov32 example matrix
- empcov4 - Empcov4 example matrix
- malePercent1 - MalePercent1 example vector
- malePercent128 - MalePercent128 example vector
- malePercent18 - MalePercent18 example vector
- malePercent201 - MalePercent201 example vector
- malePercent313 - MalePercent313 example vector
- malePercent32 - MalePercent32 example vector
- malePercent4 - MalePercent4 example vector
- moderator1 - Moderator1 example vector
- moderator128 - Moderator128 example vector
- moderator18 - Moderator18 example vector
- moderator201 - Moderator201 example vector
- moderator313 - Moderator313 example vector
- moderator32 - Moderator32 example vector
- moderator4 - Moderator4 example vector
- moderatorLabels - ModeratorLabels example vector
- moderatorValues - ModeratorValues example vector
- occupation1 - Occupation1 example vector
- occupation128 - Occupation128 example vector
- occupation18 - Occupation18 example vector
- occupation201 - Occupation201 example vector
- occupation313 - Occupation313 example vector
- occupation32 - Occupation32 example vector
- occupation4 - Occupation4 example vector
- pairwiseN128 - PairwiseN128 example vector
- pubList_8 - PubList_8 example list
- rawData228 - RawData228 example list
- recodeVariables128 - RecodeVariables128 example vector
- results128 - Results128 example list
- sampleSize1 - SampleSize1 example vector
- sampleSize128 - SampleSize128 example vector
- sampleSize18 - SampleSize18 example vector
- sampleSize201 - SampleSize201 example vector
- sampleSize313 - SampleSize313 example vector
- sampleSize32 - SampleSize32 example vector
- sampleSize4 - SampleSize4 example vector
- source1 - Source1 example vector
- source128 - Source128 example vector
- source18 - Source18 example vector
- source201 - Source201 example vector
- source313 - Source313 example vector
- source4 - Source4 example vector
- targetVariables1 - TargetVariables1 example vector
- targetVariables128 - TargetVariables128 example vector
- targetVariables313 - TargetVariables313 example vector
- targetVariables4 - TargetVariables4 example vector
- variableNames128 - VariableNames128 example vector
- variableNames18 - VariableNames18 example vector
- variableNames201 - VariableNames201 example vector
- variableNames32 - VariableNames32 example vector
Last updated 3 months agofrom:c774b378f3. Checks:OK: 1 WARNING: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 01 2024 |
| R-4.5-win | WARNING | Nov 01 2024 |
| R-4.5-linux | WARNING | Nov 01 2024 |
| R-4.4-win | WARNING | Nov 01 2024 |
| R-4.4-mac | WARNING | Nov 01 2024 |
| R-4.3-win | WARNING | Nov 01 2024 |
| R-4.3-mac | WARNING | Nov 01 2024 |
Exports:CoTiMAStanctArgsctmaBiGctmaCompFitctmaCorRelctmaEmpCovctmaEqualctmaFitctmaFitListctmaFitToPrepctmaGetPubctmaInitctmaLCSctmaMMtoCINTctmaOptimizeFitctmaOptimizeInitctmaOTLctmaPlotctmaPlotCtsemModctmaPowerctmaPrepctmaPubctmaRedHetctmaShapeRawDatactmaStdParamsctmaSV
Dependencies:abindarmaskpassbackportsBHbootcachemcallrcheckmateclicodacOdecodetoolscolorspacecpp11crayonctsemcurldata.tableDerivdescdigestdistributionaldoParalleldplyrevmixexpmfansifarverfastmapforeachgenericsggforceggplot2ggraphggrepelglueGPArotationgraphlayoutsgridExtragslgtablehttrigraphinlineisobanditeratorsjsonlitelabelinglatticelavaanlifecyclelme4loomagrittrMASSMatrixmatrixStatsMBESSmemoisemgcvmimimeminqamizemnormtmunsellmvtnormnleqslvnlmenloptrnumDerivOpenMxopensslopenxlsxpbivnormpillarpkgbuildpkgconfigplyrpolyclipposteriorprocessxpspsychpurrrquadprogQuickJSRR.cacheR.methodsS3R.ooR.utilsR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRcppParallelRdpackrlangrootSolverpfRPushbulletrstanrstantoolsrvestscalesscholarselectrsemsemToolsSparseMStanHeadersstatmodstringistringrsyssystemfontstensorAtibbletidygraphtidyrtidyselecttweenrutf8vctrsviridisviridisLitewithrxml2zcurvezip
