median_rlmc {si4bayesmeta} | R Documentation |
Computes the median RLMC by the Monte Carlo simulation according to Ott et al. (2019)
median_rlmc(df, r.tau.prior, MM = 1e+06, seed.value = 12567)
df |
data frame containing a column |
r.tau.prior |
randomisation function for the prior |
MM |
number of Monte Carlo samples |
seed.value |
random seed for random number generator |
Given the MC sample {RLMC^{(j)}, j = 1, …, J}, the median RLMC is
MRLMC = Median({RLMC^{(j)}, j = 1, …, J)}.
See more details in Ott et al. (2019).
median_rlmc |
MRLMC computed given individual study-specific sigmai values |
median_rlmc_ref |
MC MRLMC computed given a geometric mean (sigma_ref) of study-specific sigmai values |
Large discrepancy between median_rlmc
and median_rlmc_ref
can indicate outliers in study-specific sigmai values.
Ott, M., Hunanyan, S., Held, L., Roos, M. (2019). The relative latent model complexity adjustment for heterogeneity prior specification in Bayesian meta-analysis. Research Synthesis Methods (under revision).