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RobinCar: ROBust estimation and INference for Covariate Adjustment in Randomized clinical trials

Authors

Ting Ye, Yanyao Yi, Marlena Bannick (maintainer), and Faith Bian

Documentation

To view documentation about the functions, see the RobinCar website here: https://marlenabannick.com/RobinCar/. You will also find vignettes about how to use the functions.

Installation

RobinCar is now available on CRAN!

1. Install via CRAN

install.packages("RobinCar")

2. Install with devtools

To get the most recent version in development, you can install the package with devtools:

devtools::install_github("mbannick/RobinCar")

3. Clone repository

Or to download the package, you may clone the repository:

git clone https://github.com/mbannick/RobinCar.git

Publications

Here are publications and preprints that explain the methods in RobinCar:

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Version

Install

install.packages('RobinCar')

Monthly Downloads

571

Version

0.3.0

License

MIT + file LICENSE

Maintainer

Marlena Bannick

Last Published

May 20th, 2024

Functions in RobinCar (0.3.0)

print.TTEResult

Print TTE result
robincar_SL

BETA: Covariate adjustment using working models from the super learner libraries through the AIPW package with cross-fitting.
robincar_logrank

Robust (potentially stratified) logrank adjustment
robincar_calibrate

Perform linear or joint calibration
robincar_SL_median

BETA: Covariate adjustment using working models from the super learner libraries through the AIPW package with cross-fitting, with median adjustment.
print.CalibrationResult

Print calibration result
data_gen2

Data generation function from covariate adjusted log-rank paper
car_sr

Generate simple randomization treatment assignments
print.LinModelResult

Print linear model result
car_pb

Generate permuted block treatment assignments
print.ContrastResult

Print contrast result
car_ps

Generate Pocock-Simon minimization treatment assignments
data_gen

Data generation function from JRSS-B paper
print.GLMModelResult

Print glm model result
%>%

Pipe operator
robincar_covhr

Covariate-adjusted estimators for time to event data
robincar_contrast

Estimate a treatment contrast
robincar_linear

Covariate adjustment using linear working model
robincar_coxscore

Robust cox score adjustment
robincar_tte

Covariate adjustment for time to event data
robincar_glm

Covariate adjustment using generalized linear working model