Improving Estimation Efficiency in CAR with Imperfect Compliance

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Documentation for package ‘drcarlate’ version 1.2.0

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

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.