print.gesmix

The object generated by the function metamixt.

The number of significant digits printed. The default value is 3.

digits

Generic print function for metamixt object in jarbes.

Provides a new class of Bayesian meta-analysis models that we called "The Hierarchical Meta-Regression" (HMR). The aim of HMR is to incorporate into the meta-analysis, the data collection process, which results in a model for the internal and external validity bias. In this way, it is possible to combine studies of different types. For example, we can combine the results of randomized control trials (RCTs) with the results of observational studies (OS). The statistical methods and their applications are described in Verde (2019) <doi:10.1002/bimj.201700266> and in Verde (2017) <doi:10.5772/intechopen.70231>.

print.gesmix: Generic print function for metamixt object in jarbes.

Description

Usage

Arguments