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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