metaplus: Robust Meta-Analysis and Meta-Regression
Performs meta-analysis and meta-regression using standard and robust methods with confidence intervals based on the profile likelihood. Robust methods are based on alternative distributions for the random effect, either the t-distribution (Lee and Thompson, 2008 <doi:10.1002/sim.2897> or Baker and Jackson, 2008 <doi:10.1007/s10729-007-9041-8>) or mixtures of normals (Beath, 2014 <doi:10.1002/jrsm.1114>).
| Version: | 1.0-6 |
| Depends: | R (≥ 3.2.0) |
| Imports: | bbmle,metafor,boot, methods,numDeriv,MASS, graphics, stats,fastGHQuad,lme4,Rfast, parallel,doParallel,foreach |
| Suggests: | R.rsp |
| Published: | 2025-01-23 |
| DOI: | 10.32614/CRAN.package.metaplus |
| Author: | Ken Beath [aut, cre], Ben Bolker [aut], R Development Core Team [aut] |
| Maintainer: | Ken Beath <ken at kjbeath.id.au> |
| Contact: | Ken Beath <ken@kjbeath.id.au> |
| License: | GPL-2 |GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Citation: | metaplus citation info |
| Materials: | NEWS |
| In views: | MetaAnalysis,Robust |
| CRAN checks: | metaplus results |
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