R: Improving Estimation Efficiency in CAR with Imperfect Compliance

# Improving Estimation Efficiency in CAR with Imperfect Compliance

## Documentation for package ‘drcarlate’ version 1.2.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

ATEDGP | Simulates the data for ATE estimators
ATEJLTZ | ATEJLTZ runs the code for ATE estimator
ATEOutput | Computes linear, nonparametric and regularized ATE estimator
ATETrueValue | Calculates the true ATE effect.
CovAdptRnd | Generate treatment assignment under various CARs
data_table | Data used to reproduce Table 5 results in Jiang et. al. (2022)
feasiblePostLassoMatTool | Feasible Post Lasso Mat Tool
FuncDGP | Generate Data for LATE
JLTZ | Reproduce the results of the Jiang et al. (2022)
LinearLogit | Linear Regression or Logit Regression
LogisticReg | Logistic Regression Function
norminv | Inverse of the normal cumulative distribution function (cdf)
Output | Computes All the Estimators
pihat | Compute Estimated Treatment Assignment Probabilities
splinebasis | For each column of an input matrix, elements which are less than the median of that column are set to 0, leaving the rest of the elements unchanged
stanE | Compute the Estimated Standard Error of the Input Estimator
tau | Compute Estimated LATE
TrueValue | Calculate the True LATE tau.