Regularized Calibrated Estimation

---

Documentation for package ‘RCAL’ version 2.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

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