descr_extract: Extraction of descriptive statistics from a bayesmeta object
In si4bayesmeta: Sensitivity and Identification for the Bayesian Meta-Analysis

Description Usage Arguments Details Value References

Helper function for extraction of descriptive statistics (mean and sd) from output objects computed by bayesmeta. See Roos et al. (2020) for details.

1	descr_extract(res_l, res_0, res_u)

`res_l`	a bayesmeta object subject to a lower perturbation
`res_0`	a base bayesmeta object without any perturbation
`res_u`	a bayesmeta object subject to an upper perturbation

Extracts descriptive statistics (mean and sd) from bayesmeta objects.

A table with descriptive statistics (mean and sd) for mu, log(tau), random effects thetai and theta_new.

Roos, M., Hunanyan, S., Bakka, H., Rue, H. (2020). Sensitivity and identification quantification by a relative latent model complexity perturbation in the Bayesian meta-analysis. Manuscript submitted to Research Synthesis Methods.

si4bayesmeta documentation built on Dec. 16, 2019, 3:39 p.m.