m_inf_sgc {ra4bayesmeta} | R Documentation |
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.
m_inf_sgc(rlmc, alpha=0.5)
rlmc |
target RLMC value. Real number in (0,1). |
alpha |
determines the (1- |
See the Supplementary Material of Ott et al. (2020), Section 2.6, for the formulas and explanations. Note that the parameter value m_{inf} does not depend on the data set considered.
Parameter value m=m_{inf} of the SGC(m) prior. Real number > 1.
Ott, M., Plummer, M., Roos, M. How vague is vague? How informative is informative? Reference analysis for Bayesian meta-analysis. Manuscript submitted to Statistics in Medicine. 2020.
# extreme RLMC target value close to 0 used in Ott et al. (2020) m_inf_sgc(rlmc=0.0001) # 25% quantile instead of the median as ref. threshold m_inf_sgc(rlmc=0.0001, alpha=0.75)