| Name : R-metaBMA
| |
| Version : 0.6.9
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp154.3.1
| Date : 2024-09-18 00:23:39
|
| Group : Development/Libraries/Other
| Source RPM : R-metaBMA-0.6.9-lp154.3.1.src.rpm
|
| Size : 7.69 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Bayesian Model Averaging for Random and Fixed Effects Meta-Analysis
|
Description :
Computes the posterior model probabilities for standard meta-analysis
models (null model vs. alternative model assuming either fixed- or
random-effects, respectively). These posterior probabilities are used
to estimate the overall mean effect size as the weighted average of the
mean effect size estimates of the random- and fixed-effect model as
proposed by Gronau, Van Erp, Heck, Cesario, Jonas, & Wagenmakers (2017,
< doi:10.1080/23743603.2017.1326760>). The user can define a wide range
of non-informative or informative priors for the mean effect size and
the heterogeneity coefficient. Moreover, using pre-compiled Stan
models, meta-analysis with continuous and discrete moderators with
Jeffreys-Zellner-Siow (JZS) priors can be fitted and tested. This
allows to compute Bayes factors and perform Bayesian model averaging
across random- and fixed-effects meta-analysis with and without
moderators. For a primer on Bayesian model-averaged meta-analysis, see
Gronau, Heck, Berkhout, Haaf, & Wagenmakers (2021,
< doi:10.1177/25152459211031256>).
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.4/x86_64 |
