cal_h_dist {ra4bayesmeta} | R Documentation |
Returns the mean of a unit-variance normal distribution, such that the Hellinger distance between this distribution and the standard normal distribution equals the given value. Gives an intuitive interpretation of Hellinger distance values.
cal_h_dist(h)
h |
vector of Hellinger distances, consisting of real numbers in [0,1] |
For a given Hellinger distance h, the function returns mu, such that
H(N(mu, 1), N(0, 1))=h,
where H denotes the Hellinger distance.
See Roos et al. (2015), Sect. 2.2 for details.
A vector of means.
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
cal_h_dist(h=c(0.1, 0.5, 0.9))