m_inf_sgc {ra4bayesmeta} | R Documentation |
Optimization function for the SGC(m) prior: Adjust the prior to a target relative latent model complexity (RLMC)
Description
Computes the parameter value of the SGC(
) prior,
such that the relative latent model complexity (RLMC) with respect
to the reference threshold is approximately
rlmc
.
The reference threshold is chosen as the (1-alpha
)-quantile of the
SGC() prior.
Usage
m_inf_sgc(rlmc, alpha=0.5)
Arguments
rlmc |
target RLMC value. Real number in |
alpha |
determines the (1- |
Details
See the Supplementary Material of Ott et al. (2021), Section 2.3.1,
for the formulas and explanations.
Note that the parameter value does not depend
on the data set considered.
Value
Parameter value of the SGC(
) prior. Real number > 1.
References
Ott, M., Plummer, M., Roos, M. (2021). Supplementary Material: How vague is vague? How informative is informative? Reference analysis for Bayesian meta-analysis. Statistics in Medicine. doi:10.1002/sim.9076
See Also
Examples
# extreme RLMC target value close to 0 used in Ott et al. (2021)
m_inf_sgc(rlmc=0.0001)
# 25% quantile instead of the median as ref. threshold
m_inf_sgc(rlmc=0.0001, alpha=0.75)