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@dehann , It looks like a [x, l1, l2] multihypo = [1,0.5,0.5] only uses 33% of x when solving for l1, or l2
I would expect 50%
eg:
N = 100
mh = Categorical([0, 0.5,0.5])
certainidx, allelements, activehypo, mhidx = IIF.assembleHypothesesElements!(mh, N, 2, 3)
([1], Any[[2, 5, 8, 12, 14, 16, 17, 20, 21, 22 … 65, 66, 71, 81, 82, 91, 92, 93, 94, 99], Int64[], [1, 7, 13, 15, 18, 24, 25, 28, 29, 45 … 73, 75, 76, 77, 79, 80, 84, 85, 90, 96], [3, 4, 6, 9, 10, 11, 19, 31, 32, 33 … 78, 83, 86, 87, 88, 89, 95, 97, 98, 100]], Any[(0, [2]), (1, [1, 2]), (2, [1, 2]), (3, [2, 3])], [2, 0, 3, 3, 0, 3, 2, 0, 3, 3 … 0, 0, 0, 0, 3, 2, 3, 3, 0, 3])
julia> activehypo
4-element Vector{Any}:
(0, [2])
(1, [1, 2])
(2, [1, 2])
(3, [2, 3])
samples for 0: 30.599999999999998%
samples for 1: 0.0%
samples for 2: 32.7%
samples for 3: 36.7%
Sorry if I'm misunderstanding something but I thought I'd rather ask just in case.