dsgc {ra4bayesmeta} | R Documentation |
Density function of the square-root generalized conventional (SGC) benchmark prior
Description
Density function of the SGC distribution described in the Supplementary Material of Ott et al. (2021).
Usage
dsgc(x, m, C)
Arguments
x |
vector of quantiles. |
m |
real number in |
C |
non-negative real number. |
Details
The density function with domain is given by
for .
This is the transformation of the density function for
variance components given in equation (2.15) in Berger & Deely (1988)
to the standard deviation scale.
See the Supplementary Material of Ott et al. (2021), Section 2.2, for more information.
For meta-analsis data sets, Ott et al. (2021) choose
,
where
is the reference standard deviation (see function
sigma_ref
) of the
data set,
which is defined as the geometric mean of the standard deviations
of the individual studies.
Value
Value of the density function at locations x, where . Vector of non-negative real numbers.
References
Berger, J. O., Deely, J. (1988). A Bayesian approach to ranking and selection of related means with alternatives to analysis-of-variance methodology. Journal of the American Statistical Association 83(402), 364–373.
Ott, M., Plummer, M., Roos, M. (2021). Supplementary Material: How vague is vague? How informative is informative? Reference analysis for Bayesian meta-analysis. Statistics in Medicine. doi:10.1002/sim.9076
See Also
Examples
dsgc(x=c(0.1,0.5,1), m=1.2, C=10)