ctmaBiG {CoTiMA} | R Documentation |

Analysis of publication bias and generalizability. The function takes a CoTiMA fit object (created with `ctmaInit`

)
and estimates fixed and random effects of single drift coefficients, heterogeneity (Q, I square, H square, tau square),
PET-PEESE corrections, Egger's tests, and z-curve analysis yielding expected replication and detection rates (ERR, EDR).

ctmaBiG( ctmaInitFit = NULL, activeDirectory = NULL, PETPEESEalpha = 0.1, activateRPB = FALSE, digits = 4, zcurve = FALSE )

`ctmaInitFit` |
fit object created with |

`activeDirectory` |
the directory where to save results (if not specified, it is taken from ctmaInitFit) |

`PETPEESEalpha` |
probability level (condition) below which to switch from PET to PEESE (cf. Stanley, 2017, p. 582, below Eq. 2; default p = .10) |

`activateRPB` |
if TRUE, messages (warning, finished) could be send to smart phone (default = FALSE) |

`digits` |
rounding (default = 4) |

`zcurve` |
performs z-curve analysis. Could fail if too few studies (e.g. around 10) are supplied. default=FALSE |

ctmaBiG returns a list containing some arguments supplied, the results of analyses of publication bias and generalizability, model type, and the type of plot that could be performed with the returned object. The arguments in the returned object are activeDirectory, and coresToUse. Further arguments, which are just copied from the init-fit object supplied, are, n.studies, n.latent, studyList, statisticsList, modelResults (all parameter estimates and their standard error), and parameter names. All new results are returned as the list element "summary", which is printed if the summary function is applied to the returned object. The summary list element comprises a title (model='Analysis of Publication Bias & Generalizability') and "estimates", which is another list comprising "Fixed Effects of Drift Coefficients", "Heterogeneity", "Random Effects of Drift Coefficients", "PET-PEESE corrections", "Egger's tests" (constant of the WLS regression of drift coefficients on their standard errors (SE) with 1/SE^2 as weights), "Egger's tests Alt. Version" (constant of the OLS regression of the standard normal deviates of the drift coefficients on their precision), and "Z-Curve 2.0 Results". Plot type is plot.type=c("funnel", "forest") and model.type="BiG".

## Not run: # perform analyses of publication bias and generalizability CoTiMAInitFit_D_BO$activeDirectory <- "/Users/tmp/" # adapt! CoTiMABiG_D_BO <- ctmaBiG(ctmaInitFit=CoTiMAInitFit_D_BO, zcurve=FALSE) ## End(Not run) # display results summary(CoTiMABiG_D_BO) ## Not run: # get funnel & forest plots CoTiMABiG_D_BO$activeDirectory <- "/Users/tmp/" # adapt! plot(CoTiMABiG_D_BO) ## End(Not run)

[Package *CoTiMA* version 0.4.0 Index]