| Name : R-RoBMA
| |
| Version : 3.1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.2
| Date : 2024-06-14 11:57:34
|
| Group : Development/Libraries/Other
| Source RPM : R-RoBMA-3.1.0-lp153.2.2.src.rpm
|
| Size : 2.16 MB
| |
| Packager : (none)
| |
| Summary : Robust Bayesian Meta-Analyses
|
Description :
A framework for estimating ensembles of meta-analytic models (assuming
either presence or absence of the effect, heterogeneity, and
publication bias). The RoBMA framework uses Bayesian model-averaging to
combine the competing meta-analytic models into a model ensemble,
weights the posterior parameter distributions based on posterior model
probabilities and uses Bayes factors to test for the presence or
absence of the individual components (e.g., effect vs. no effect;
Bartoš et al., 2022, < doi:10.1002/jrsm.1594> Maier, Bartoš &
Wagenmakers, 2022, < doi:10.1037/met0000405>). Users can define a wide
range of non-informative or informative prior distributions for the
effect size, heterogeneity, and publication bias components (including
selection models and PET-PEESE). The package provides convenient
functions for summary, visualizations, and fit diagnostics.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
