A simulated data for the illustration.
Covariates *x_i* are drawn from *N(μ,I_{5x5})* or *N(-μ,I_{5x5})* with probability 0.5.
To make the first two variables active,*μ = [μ_1,…,μ_2,0,0,0]^T, θ = [θ_0,…,θ_2,0,0,0]^T*
and we set *μ_i=1.5, θ_i ~ Unif[0.5,1]*
Responses *y_i* is simulated via *P_θ(y=1|x) = 1/exp(-θ^Tx)*.
1000 observations are sampled from the sub-population of positives(y=1) and labeled, and another 1000 observations are sampled from the original population and unlabeled.

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A list containing model matrix X, true response y, labeled/unlabeled response vector z, and a true positive probability truePY1.

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