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 m=m_{inf}
of the SGC(m
) 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(m_{inf}
) 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 m_{inf}
does not depend
on the data set considered.
Value
Parameter value m=m_{inf}
of the SGC(m
) 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)