m_inf_sgc | 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 |
alpha |
determines the (1- |
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.
Parameter value m=m_{inf}
of the SGC(m
) prior. Real number > 1.
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. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1002/sim.9076")}
M_inf_sigc
# 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)
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