Nmuh1N012h: Hellinger distance between normal and standard normal...
In si4bayesmeta: Sensitivity and Identification for the Bayesian Meta-Analysis
Description
Usage
Arguments
Details
Value
References
Description
Hellinger distance between standard normal N(0,1) and unit variance normal N(mu,1) densities.
h(mu) = √{1- \exp{(-mu^2/8)}}.
Usage
1
Nmuh1N012h(mu)
Arguments
mu
mean shift
Details
See more details in Roos et al., 2015, Appendix B4.
Value
Vector of Hellinger distances, consisting of real numbers in [0,1].
References
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
si4bayesmeta documentation built on Dec. 16, 2019, 3:39 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Details Value References
Description
Hellinger distance between standard normal N(0,1) and unit variance normal N(mu,1) densities.
h(mu) = √{1- \exp{(-mu^2/8)}}.
Usage
1 | Nmuh1N012h(mu)
|
Arguments
mu |
mean shift |
Details
See more details in Roos et al., 2015, Appendix B4.
Value
Vector of Hellinger distances, consisting of real numbers in [0,1].
References
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
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.