h2Nmuh1N01 {si4bayesmeta} | R Documentation |
Returns the calibration of the Hellinger distance hh
expressed as a shift in the mean between a standard normal distribution and a unit variance normal distribution with this mean.
h2Nmuh1N01(hh)
hh |
Hellinger distance value (or a vector of Hellinger distance values), a real value between 0 and 1. |
Returns the calibration
μ(hh) = √{-8 \log {(1-hh^2)}}
for the given Hellinger distance hh
, such that
H(N(μ(hh), 1), N(0,1)) = hh.
See Roos et al. (2015), Sect. 2.2 for more details.
A mean value (or a vector of mean values).
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
h2Nmuh1N01(h=c(0.1, 0.5, 0.9))