RCAL-package            RCAL: Regularized calibrated estimation
ate.aipw                Augmented inverse probability weighted
                        estimation of population means
ate.ipw                 Inverse probability weighted estimation of
                        average treatment effects
ate.nreg                Model-assisted inference for average treatment
                        effects without regularization
ate.regu.cv             Model-assisted inference for average treatment
                        effects based on cross validation
ate.regu.path           Model-assisted inference for average treatment
                        effects along regularization paths
glm.nreg                Non-regularied M-estimation for fitting
                        generalized linear models
glm.regu                Regularied M-estimation for fitting generalized
                        linear models with a fixed tuning parameter
glm.regu.cv             Regularied M-estimation for fitting generalized
                        linear models based on cross validation
glm.regu.path           Regularied M-estimation for fitting generalized
                        linear models along a regularization path
mn.aipw                 Augmented inverse probability weighted
                        estimation of population means
mn.ipw                  Inverse probability weighted estimation of
                        population means
mn.nreg                 Model-assisted inference for population means
                        without regularization
mn.regu.cv              Model-assisted inference for population means
                        based on cross validation
mn.regu.path            Model-assisted inference for population means
                        along a regularization path
simu.data               Simulated data
