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A joint regression modeling framework for analyzing bivariate binary data in R

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Figure

Figure 1: Treatment equation: smooth function estimates and associatedftting the Clay ton180 copula model on the 2008 MEPS data
Figure 3: Histogram and kernel density estimate of the simulated SATE distribution for the ftted Clay ton180 copula model.
Figure 4: HIV prevalence estimates by region obtained by apply ing the imputation and sample selection models
Figure 5 displays the predicted probabilities of several outcomes (war onset, rebels challenging the state,and government fghting back) across varying values in GDP
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