| Name : R-metaforest
| |
| Version : 0.1.4
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp153.1.4
| Date : 2024-06-14 11:54:26
|
| Group : Development/Libraries/Other
| Source RPM : R-metaforest-0.1.4-lp153.1.4.src.rpm
|
| Size : 0.20 MB
| |
| Packager : (none)
| |
| Summary : Exploring Heterogeneity in Meta-Analysis using Random Forests
|
Description :
Conduct random forests-based meta-analysis, obtain partial dependence
plots for metaforest and classic meta-analyses, and cross-validate and
tune metaforest- and classic meta-analyses in conjunction with the
caret package. A requirement of classic meta-analysis is that the
studies being aggregated are conceptually similar, and ideally, close
replications. However, in many fields, there is substantial
heterogeneity between studies on the same topic. Classic meta-analysis
lacks the power to assess more than a handful of univariate moderators.
MetaForest, by contrast, has substantial power to explore heterogeneity
in meta-analysis. It can identify important moderators from a larger
set of potential candidates (Van Lissa, 2020). This is an appealing
quality, because many meta-analyses have small sample sizes. Moreover,
MetaForest yields a measure of variable importance which can be used to
identify important moderators, and offers partial prediction plots to
explore the shape of the marginal relationship between moderators and
effect size.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
