entropy_pooling.Rd
This function solves the entropy minimization problem with equality and inequality constraints. The solution is a vector of posterior probabilities that distorts the least the prior (equal-weights probabilities), given the constraints.
entropy_pooling(p, A = NULL, b = NULL, Aeq, beq)
p | A vector of prior probabilities |
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A | The linear inequality constraint (left-hand side) |
b | The linear inequality constraint (right-hand side) |
Aeq | The linear equality constraint (left-hand side) |
beq | The linear equality constraint (right-hand side) |
A vector of posterior probabilities.
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