Description Usage Arguments Value References Examples
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
.
1 | kdeFSBT(H0, sim.sample)
|
H0 |
a scalar value under the null hypothesis. |
sim.sample |
a sample from the marginal posterior distribution. |
double
Pereira, C. A. d. B., Stern, J. M. and Wechsler, S. (2008) Can a significance test be genuinely Bayesian? Bayesian Analysis 3, 79-100.
1 2 |
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