The conditional stacked snb density function. This function gets the distribution of the stopping time when the binomial process has not reached one of its endpoints. The success probability is fitted using fit_flips with specified prior.
1 | cdsnb_stacked(x, shape, s, t)
|
x |
quantile |
shape |
the shape parameters of the beta prior. |
s |
the top barrier for the snb process. |
t |
the right barrier for the snb process. |
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