sample represents an accumulation process within a
montecarlo block. The accumulation is relative to the iterations of the
montecarlo block itself.
montecarlo 1000 with x = random.uniform(-1, 1) y = random.uniform(-1, 1) inCircle = x^2 + y^2 < 1 sample approxPi = avg(if inCircle then 4 else 0) show scalar "π approximation" with approxPi
montecarlo 1000 with x = if random.binomial(0.2) then 0 else random.poisson(5) sample r = ranvar(x) show scalar "Zero-inflated Poisson" a1b3 with r
At this point,
ranvar() are the sole accumulators supported by