| 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 |
| late.aipw | Augmented inverse probability weighted estimation of local average treatment effects |
| late.nreg | Model-assisted inference for local average treatment effects without regularization |
| late.regu.cv | Model-assisted inference for local average treatment effects (LATEs) with instrumental variables based on cross validation |
| late.regu.path | Model-assisted inference for local average treatment effects along regularization paths |
| 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 |
| RCAL | RCAL: Regularized calibrated estimation |
| simu.data | Simulated data |
| simu.iv.data | Simulated instrumental variable data |