Package: drcarlate 1.2.0

Mingxin Zhang

drcarlate: Improving Estimation Efficiency in CAR with Imperfect Compliance

We provide a list of functions for replicating the results of the Monte Carlo simulations and empirical application of Jiang et al. (2022). In particular, we provide corresponding functions for generating the three types of random data described in this paper, as well as all the estimation strategies. Detailed information about the data generation process and estimation strategy can be found in Jiang et al. (2022) <doi:10.48550/arXiv.2201.13004>.

Authors:Liang Jiang [aut, cph], Oliver B. Linton [aut, cph], Haihan Tang [aut, cph], Yichong Zhang [aut, cph], Mingxin Zhang [cre]

drcarlate_1.2.0.tar.gz
drcarlate_1.2.0.tar.gz(r-4.7-any)drcarlate_1.2.0.tar.gz(r-4.6-any)
drcarlate_1.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
drcarlate/json (API)

# Install 'drcarlate' in R:

install.packages('drcarlate', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

data_table - Data used to reproduce Table 5 results in Jiang et. al.

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.70 score 9 scripts 255 downloads 17 exports 22 dependencies

Last updated from:c429da0a40. Checks:4 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	145
source / vignettes	OK	281
linux-release-x86_64	OK	141
wasm-release	OK	143

Exports:ATEDGP ATEJLTZ ATEOutput ATETrueValue CovAdptRnd feasiblePostLassoMatTool FuncDGP JLTZ LinearLogit LogisticReg norminv Output pihat splinebasis stanE tau TrueValue

Dependencies:cli codetools foreach glmnet glue iterators lattice lifecycle magrittr MASS Matrix pracma purrr Rcpp RcppEigen rlang shape splus2R stringi stringr survival vctrs

Introduction to drcarlate

Rendered fromIntroduction_to_drcarlate.Rmdusingknitr::rmarkdown

Last update: 2023-06-12
Started: 2023-06-12

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

Package: drcarlate 1.2.0

drcarlate: Improving Estimation Efficiency in CAR with Imperfect Compliance

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