Title: Replicability-Analysis Tools for Meta-Analysis
Suggests: metafor (>= 1.9.9), lme4, numDeriv, BiasedUrn, knitr,
Description: User-friendly package for reporting replicability-analysis methods, affixed to meta-analyses summary. The replicability-analysis output provides an assessment of the investigated intervention, where it offers quantification of effect replicability and assessment of the consistency of findings.
- Replicability-analysis for fixed-effects and random-effect meta analysis:
- lower bounds on the number of studies with replicated positive and\or negative effect;
- Allows detecting inconsistency of signals;
- forest plots with the summary of replicability analysis results;
- Allows Replicability-analysis with or without the common-effect assumption.

Description: User-friendly package for reporting replicability-analysis methods, affixed to meta-analyses summary. This package implements the methods introduced in Jaljuli et. al. (2022) <doi:10.1080/19466315.2022.2050291>. The replicability-analysis output provides an assessment of the investigated intervention, where it offers quantification of effect replicability and assessment of the consistency of findings.
Packaged: 2022-03-14 08:10:46 UTC; imanjljule

Title: Advanced statistical methods to model and adjust for bias in
Description: Advanced statistical methods to model and adjust for bias in meta-analysis. More standard methods, i.e. tests for bias in meta-analysis and the trim-and-fill method are provided in R package meta. Main purpose of these methods is to evaluate how sensitive the result of a meta-analysis is to potential bias in meta-analysis. The following methods are available:
- upper bound for outcome reporting bias.

Title: Advanced Statistical Methods to Model and Adjust for Bias in
Description: The following methods to evaluate how sensitive the results of a meta-analysis are to potential bias in meta-analysis are implemented:

Description: The following methods are implemented to evaluate how sensitive the results of a meta-analysis are to potential bias in meta-analysis: