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:Christian Dormann [aut, cph], Markus Homberg [aut, com, cre], Olga Diener [ctb], Christina Guthier [ctb], Manuel Voelkle [ctb]

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

Datasets:

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

On CRAN:

25 exports 4 stars 2.88 score 133 dependencies 858 downloads

Last updated 16 days agofrom:c774b378f3. Checks:OK: 1 WARNING: 6. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Sep 02 2024
R-4.5-win	WARNING	Sep 02 2024
R-4.5-linux	WARNING	Sep 02 2024
R-4.4-win	WARNING	Sep 02 2024
R-4.4-mac	WARNING	Sep 02 2024
R-4.3-win	WARNING	Sep 02 2024
R-4.3-mac	WARNING	Sep 02 2024

Exports:CoTiMAStanctArgs ctmaBiG ctmaCompFit ctmaCorRel ctmaEmpCov ctmaEqual ctmaFit ctmaFitList ctmaFitToPrep ctmaGetPub ctmaInit ctmaLCS ctmaMMtoCINT ctmaOptimizeFit ctmaOptimizeInit ctmaOTL ctmaPlot ctmaPlotCtsemMod ctmaPower ctmaPrep ctmaPub ctmaRedHet ctmaShapeRawData ctmaStdParams ctmaSV

Dependencies:abind arm askpass backports BH boot cachem callr checkmate cli coda cOde codetools colorspace cpp11 crayon ctsem curl data.table Deriv desc digest distributional doParallel dplyr evmix expm fansi farver fastmap foreach generics ggforce ggplot2 ggraph ggrepel glue GPArotation graphlayouts gridExtra gsl gtable httr igraph inline isoband iterators jsonlite labeling lattice lavaan lifecycle lme4 loo magrittr MASS Matrix matrixStats MBESS memoise mgcv mi mime minqa mize mnormt munsell mvtnorm nleqslv nlme nloptr numDeriv OpenMx openssl openxlsx pbivnorm pillar pkgbuild pkgconfig plyr polyclip posterior processx ps psych purrr quadprog QuickJSR R.cache R.methodsS3 R.oo R.utils R6 rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen RcppParallel Rdpack rlang rootSolve rpf RPushbullet rstan rstantools rvest scales scholar selectr sem semTools SparseM StanHeaders statmod stringi stringr sys systemfonts tensorA tibble tidygraph tidyr tidyselect tweenr utf8 vctrs viridis viridisLite withr xml2 zcurve zip

R packages: CoTiMA

Rendered fromCoTiMA.pdf.asisusingR.rsp::asison Sep 02 2024.

Last update: 2024-04-25
Started: 2024-04-25

Help page	Topics
A128 example matrix	A128
A313 example matrix	A313
ageM1 example vector	ageM1
ageM128 example vector	ageM128
ageM18 example vector	ageM18
ageM201 example vector	ageM201
ageM313 example vector	ageM313
ageM32 example vector	ageM32
ageM4 example vector	ageM4
ageSD1 example vector	ageSD1
ageSD128 example vector	ageSD128
ageSD18 example vector	ageSD18
ageSD201 example vector	ageSD201
ageSD313 example vector	ageSD313
ageSD32 example vector	ageSD32
ageSD4 example vector	ageSD4
alphas128 example vector	alphas128
alphas313 example vector	alphas313
burnout1 example vector	burnout1
burnout128 example vector	burnout128
burnout18 example vector	burnout18
burnout201 example vector	burnout201
burnout313 example vector	burnout313
burnout32 example vector	burnout32
burnout4 example vector	burnout4
combineVariables128 example vector	combineVariables128
combineVariablesNames128 example vector	combineVariablesNames128
ctmaBiG-object reproducing results of Guthier et al. (2020)	CoTiMABiG_D_BO
ctmaFit-object with a 'full' CoTiMA of 3 studies	CoTiMAFullFit_3
ctmaFit-object with a 'full' CoTiMA of 6 studies	CoTiMAFullFit_6
ctmaFit-object with a 'full' CoTiMA of 6 studies	CoTiMAFullFit_6_new
1st fitted ctmaFit-object in a series of 2 to test equality of 2 cross effects	CoTiMAFullInv23Fit_6
2nd fitted ctmaFit-object in a series of 2 to test equality of 2 cross effects	CoTiMAFullInvEq23Fit_6
ctmaInit-object with of 3 primary studies	CoTiMAInitFit_3
ctmaInit-object with 6 primary studies	CoTiMAInitFit_6
ctmaInit-object with 6 primary studies	CoTiMAInitFit_6_new
ctmaInit-object with a 'full' CoTiMA of 6 studies using NUTS sampler	CoTiMAInitFit_6_NUTS
ctmaInit-object created by Guthier et al. (2020) with 48 primary studies	CoTiMAInitFit_D_BO
ctmaFit-object with a categorical moderator of the full drift matrix	CoTiMAMod1onFullFit_6
ctmaFit-object with a categorical moderator of the full drift matrix	CoTiMAMod1onFullFit_6_cats12
ctmaFit-object with a continuous moderator of 2 cross effects	CoTiMAMod2on23Fit_6
ctmaFit-object with with only one cross effect and this one set equal across primary studies	CoTiMAPart134Inv3Fit_6
ctmaPower-object reproducing results of Guthier et al. (2020)	CoTiMAPower_D_BO
This are preset arguments	CoTiMAStanctArgs
ctmaPrep-object created with 3 primary studies	CoTiMAstudyList_3
ctmaPrep-object created with 6 primary studies	CoTiMAstudyList_6
ctmaPrep-object created with 6 primary studies	CoTiMAstudyList_6_new
country1 example vector	country1
country128 example vector	country128
country18 example vector	country18
country201 example vector	country201
country313 example vector	country313
country32 example vector	country32
country4 example vector	country4
ctmaAllInvFit	ctmaAllInvFit
ctmaBiG	ctmaBiG
ctmaBiGOMX	ctmaBiGOMX
ctmaCombPRaw	ctmaCombPRaw
ctmaCompFit	ctmaCompFit
ctmaCorRel	ctmaCorRel
ctmaEmpCov	ctmaEmpCov
ctmaEqual	ctmaEqual
ctmaFit	ctmaFit
ctmaFitList	ctmaFitList
ctmaFitToPrep	ctmaFitToPrep
ctmaGetPub	ctmaGetPub
ctmaInit	ctmaInit
ctmaLabels	ctmaLabels
ctmaLCS	ctmaLCS
ctmaMMtoCINT	ctmaMMtoCINT
ctmaOptimizeFit	ctmaOptimizeFit
ctmaOptimizeInit	ctmaOptimizeInit
ctmaOTL	ctmaOTL
ctmaPlot	ctmaPlot
ctmaPlotCtsemMod	ctmaPlotCtsemMod
ctmaPower	ctmaPower
ctmaPRaw	ctmaPRaw
ctmaPrep	ctmaPrep
ctmaPub	ctmaPub
ctmaRedHet	ctmaRedHet
ctmaSaveFile	ctmaSaveFile
ctmaScaleInits	ctmaScaleInits
ctmaShapeRawData	ctmaShapeRawData
ctmaStanResample	ctmaStanResample
ctmaStdParams	ctmaStdParams
ctmaSV	ctmaSV
delta_t1 example vector	delta_t1
delta_t128 example vector	delta_t128
delta_t18 example vector	delta_t18
delta_t201 example vector	delta_t201
delta_t228 example vector	delta_t228
delta_t313 example vector	delta_t313
delta_t32 example vector	delta_t32
delta_t4 example vector	delta_t4
demands1 example vector	demands1
demands128 example vector	demands128
demands18 example vector	demands18
demands201 example vector	demands201
demands313 example vector	demands313
demands32 example vector	demands32
demands4 example vector	demands4
dl_link example path	dl_link
empcov1 example matrix	empcov1
empcov128 example matrix	empcov128
empcov18 example matrix	empcov18
empcov201 example matrix	empcov201
empcov313 example matrix	empcov313
empcov32 example matrix	empcov32
empcov4 example matrix	empcov4
malePercent1 example vector	malePercent1
malePercent128 example vector	malePercent128
malePercent18 example vector	malePercent18
malePercent201 example vector	malePercent201
malePercent313 example vector	malePercent313
malePercent32 example vector	malePercent32
malePercent4 example vector	malePercent4
moderator1 example vector	moderator1
moderator128 example vector	moderator128
moderator18 example vector	moderator18
moderator201 example vector	moderator201
moderator313 example vector	moderator313
moderator32 example vector	moderator32
moderator4 example vector	moderator4
moderatorLabels example vector	moderatorLabels
moderatorValues example vector	moderatorValues
occupation1 example vector	occupation1
occupation128 example vector	occupation128
occupation18 example vector	occupation18
occupation201 example vector	occupation201
occupation313 example vector	occupation313
occupation32 example vector	occupation32
occupation4 example vector	occupation4
pairwiseN128 example vector	pairwiseN128
plot.CoTiMAFit	plot.CoTiMAFit
pubList_8 example list	pubList_8
rawData228 example list	rawData228
recodeVariables128 example vector	recodeVariables128
results128 example list	results128
sampleSize1 example vector	sampleSize1
sampleSize128 example vector	sampleSize128
sampleSize18 example vector	sampleSize18
sampleSize201 example vector	sampleSize201
sampleSize313 example vector	sampleSize313
sampleSize32 example vector	sampleSize32
sampleSize4 example vector	sampleSize4
source1 example vector	source1
source128 example vector	source128
source18 example vector	source18
source201 example vector	source201
source313 example vector	source313
source4 example vector	source4
summary.CoTiMAFit	summary.CoTiMAFit
targetVariables1 example vector	targetVariables1
targetVariables128 example vector	targetVariables128
targetVariables313 example vector	targetVariables313
targetVariables4 example vector	targetVariables4
variableNames128 example vector	variableNames128
variableNames18 example vector	variableNames18
variableNames201 example vector	variableNames201
variableNames32 example vector	variableNames32

Package: CoTiMA 0.8.0

CoTiMA: Continuous Time Meta-Analysis ('CoTiMA')

R packages: CoTiMA

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Usage by other packages (reverse dependencies)