Description Usage Arguments Value See Also
Estimate the Bayesian posterior probability of each alternative being the best binomial bandit at time t (simulation version)
1 | binomial_bandit_sim(x, n, .alpha = 1, .beta = 1, ndraws = 5000, ncp = 0)
|
x |
number of success |
n |
number of trials |
.alpha |
alpha of beta distribution |
.beta |
beta of beta distribution |
ncp |
prior center |
optimal probabilities of each arm w_a, t
Eq (11)
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