BC_normal_total {si4bayesmeta} | R Documentation |
Computes the total Bhattacharyya coefficient between two normal densities with means m1
and m0
and standard deviations sd1
and sd0
BC_normal_total(m1, sd1, m0, sd0)
m1 |
mean of the fist 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 |
BC is a symmetric measure of affinity (Roos et al., 2015).
BC(π_b(ψ | y), π_a(ψ | y)) = \int_{-∞}^{∞} √{π_b(ψ | y) π_a(ψ | y)} d ψ.
The total BC is the product of the mean part BC and the sd-part BC.
A numeric value between 0 and 1.
Roos, M., Martins, T., Held, L., Rue, H. (2015). Sensitivity analysis for Bayesian hierarchical models. Bayesian Analysis 10(2), 321-349. https://projecteuclid.org/euclid.ba/1422884977
BC_normal_m1m0
, BC_normal_sd1sd0
BC_normal_m1m0(m1=0.4, sd1=0.3, m0=0.42, sd0=0.32)