Predictive density under H-: p2 <= p1 (truncated prior)
Usage
predictiveDensityHminus_trunc(
y1,
y2,
n1,
n2,
a_1_d = 1,
b_1_d = 1,
a_2_d = 1,
b_2_d = 1
)
Arguments
- y1
Number of successes in arm 1 (control).
- y2
Number of successes in arm 2 (treatment).
- n1
Sample size in arm 1.
- n2
Sample size in arm 2.
- a_1_d, b_1_d
Design-prior parameters for p1.
- a_2_d, b_2_d
Design-prior parameters for p2.
Value
Numeric scalar, predictive density under H-.
