TargetedLearning.TMLEs

Exported

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tmle(logitQnA1::Array{T, 1}, logitQnA0::Array{T, 1}, gn1::Array{T, 1}, A, Y) ¶

Performs targeted minimum loss-based estimation

Arguments

• logitQnA1 - Vector of length n of initial estimates logit(ar{Q}_n(1, W_i))
• logitQnA0 - Vector of length n of initial estimates logit(ar{Q}_n(0, W_i))
• gn1 - Vector of length n of initial estimats g_n(1, W_i)
• A - Vector of length n of treatments, 0.0 or 1.0
• Y - Vector of length n of outcomes, bounded between 0 and 1.

Keyword Arguments

• param - Target parameter. See ?ATE or ?Mean. Default is ATE()
• weightedfluc - A boolean, false by default. If false, the "standard" fluctuation is performed, there the fluctuation covariate is divided by (g_n(A_imid W_i)), and weights are set to 1. If true, the fluctuation covariate is used directly, and weights are set to the reciprical of (g_n(A_imid W_i)) where (g_n(A_i mid W_i)) is computed as gn1[i] if A[i] is 1, or 1-gn1[i] otherwise.

source: TargetedLearning/src/TMLEs.jl:61