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using CausalInference | |
V = [:U, :T, :P, :O] | |
g = digraph([1=>3, 2=>3, 3=>4, 2=>4, 1=>4]) | |
# Can estimate total effect T=>O without observing U? | |
u = 2 | |
v = 4 | |
∅ = Set{Int}() | |
observed = 2:4 | |
collect(list_covariate_adjustment(g, u, v, ∅, observed)) |
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abstract type AbstractLattice; end | |
function widen; end | |
""" | |
struct JLTypeLattice | |
A singleton type representing the lattice of Julia types, without any inference | |
extensions. | |
""" |
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