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Assigning marginals for computing transfer entropy

# TransferEntropy.TEVars — Method.

TEVars(Tf::Vector{Int}, Tpp::Vector{Int}, Spp::Vector{Int})
TEVars(Tf::Vector{Int}, Tpp::Vector{Int}, Spp::Vector{Int}, Cpp::Vector{Int})

TEVars(;Tf = Int[], Tpp = Int[], Spp = Int[], Cpp = Int[]) -> TEVars

Which axes of the state space correspond to the future of the target (Tf), the present/past of the target (Tpp), the present/past of the source (Spp), and the present/past of any conditioned variables (Cpp)? Indices correspond to variables of the embedding or colums of a Dataset.

This information is used by the transfer entropy estimators to ensure the marginal distributions are computed correctly.