eAD                     three AD scenarios
eIPD                    an IPD set
exmLP.2ipd              Checks whether two IPD datasets can be matched
                        with lpSolve::lp
exmWt.2ipd              Exact matching for two IPD's
maicLP                  Checks if AD is within the convex hull of IPD
                        using lp-solve
maicMD                  Checks if AD is within the convex hull of IPD
                        using Mahalanobis distance
maicPCA                 Checks whether AD is outside IPD in PC
                        coordinates
maicT2Test              Hotelling's T-square test to check whether maic
                        is needed
maicWt                  Estimates the MAIC weights
maxessWt                Maximum ESS Weights
sim110                  Simulated data used for exact matching
wtTrtDiff               Weighted treatment-effect difference with Wald
                        confidence interval
