BC_normal_m1m0 {si4bayesmeta} | R Documentation |
Computes the Bhattacharyya coefficient (the mean-part) between two normal densities with means m1
and m0
and standard deviations sd1
and sd0
BC_normal_m1m0(m1, sd1, m0, sd0)
m1 |
mean of the first normal density |
sd1 |
standard deviation of the first normal density |
m0 |
mean of the second normal density |
sd0 |
standard deviation of the second normal density |
The function returns the mean-part of the BC under normal approximation according to Roos et al. (2020). The mean-part is adjusted for standard deviations which corresponds to the Mahalanobis distance. This part quantifies the location modification.
A numeric value is returned.
Roos, M., Hunanyan, S., Bakka, H., Rue, H. (2020). Sensitivity and identification quantification by a relative latent model complexity perturbation in the Bayesian meta-analysis. Manuscript submitted to Research Synthesis Methods.
BC_normal_m1m0(m1=0.4, sd1=0.3, m0=0.42, sd0=0.32)