kdeFSBT {robustBLME} | R Documentation |
Full Significance Bayesian Testing
Description
Performs Full Significance Bayesian Testing (FSBT) for univariate sharp
null hypothesis based on a posterior sample. The marginal posterior density is obtained by kernel density estimation from sim.sample
.
Usage
kdeFSBT(H0, sim.sample)
Arguments
H0 |
a scalar value under the null hypothesis. |
sim.sample |
a sample from the marginal posterior distribution. |
Value
double
References
Pereira, C. A. d. B., Stern, J. M. and Wechsler, S. (2008) Can a significance test be genuinely Bayesian? Bayesian Analysis 3, 79-100.
Examples
x <- rnorm(1000, 0, 1)
kdeFSBT(-1, x)
[Package robustBLME version 0.1.3 Index]