# 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