robincar
ROBust INference for Covariate Adjustment in Randomized clinical trials
Science Score: 67.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 8 DOI reference(s) in README -
✓Academic publication links
Links to: arxiv.org, zenodo.org -
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (12.6%) to scientific vocabulary
Repository
ROBust INference for Covariate Adjustment in Randomized clinical trials
Basic Info
- Host: GitHub
- Owner: mbannick
- License: other
- Language: R
- Default Branch: main
- Homepage: https://marlenabannick.com/RobinCar/
- Size: 542 KB
Statistics
- Stars: 6
- Watchers: 2
- Forks: 2
- Open Issues: 1
- Releases: 7
Metadata Files
README.md
RobinCar: ROBust estimation and INference for Covariate Adjustment in Randomized clinical trials
RobinCar is a package that allows for robust estimation and inference for treatment effects in randomized clinical trials when covariates are used at the design and/or analysis stages of the trial. Supported covariate-adaptive randomization schemes at the design phase are simple randomization, stratified permuted block randomization, biased coin randomization, and Pocock and Simon's minimization. Statistical methods at the analysis stage are model-assisted and assumption-lean, in accordance with FDA guidance on covariate adjustment. Publications describing the methods are listed here.
See also RobinCar2, which is a lite version of RobinCar and is supported by the ASA Biopharmaceutical Section Covariate Adjustment Scientific Working Group Software Subteam.
Authors
Ting Ye, Yanyao Yi, Marlena Bannick (maintainer), Yuhan Qian, 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:
{bash}
devtools::install_github("mbannick/RobinCar")
3. Clone repository
Or to download the package, you may clone the repository:
{bash}
git clone https://github.com/mbannick/RobinCar.git
Publications
Here are publications and preprints that explain the methods in RobinCar:
Owner
- Name: Marlena Bannick
- Login: mbannick
- Kind: user
- Location: Seattle, WA
- Company: University of Washington
- Website: marlenabannick.com
- Twitter: BannickMarlena
- Repositories: 6
- Profile: https://github.com/mbannick
Biostatistics PhD Student at University of Washington
Citation (CITATION.cff)
cff-version: 1.2.0
message: "Please cite the package as below."
authors:
- family-names: Ye
given-names: Ting
- family-names: Bannick
given-names: Marlena
- family-names: Yi
given-names: Yanyao
- family-names: Bian
given-names: Faith
title: "RobinCar: robust estimation and inference for covariate adjustment in randomized clinical trials"
version: 0.3.1
doi: 10.5281/zenodo.14027095
date-released: 2023-08-04
GitHub Events
Total
- Create event: 9
- Issues event: 2
- Release event: 2
- Watch event: 2
- Issue comment event: 5
- Member event: 1
- Push event: 31
- Pull request review comment event: 18
- Pull request review event: 15
- Pull request event: 13
- Fork event: 1
Last Year
- Create event: 9
- Issues event: 2
- Release event: 2
- Watch event: 2
- Issue comment event: 5
- Member event: 1
- Push event: 31
- Pull request review comment event: 18
- Pull request review event: 15
- Pull request event: 13
- Fork event: 1
Dependencies
- R >= 2.10 depends
- dplyr * imports
- emulator * imports
- magrittr * imports
- numDeriv * imports
- rlang * imports
- stats * imports
- tidyr * imports
- tidyverse * imports
- knitr * suggests
- rmarkdown * suggests
- testthat >= 3.0.0 suggests
- actions/checkout v2 composite
- r-lib/actions/check-r-package v2 composite
- r-lib/actions/setup-pandoc v2 composite
- r-lib/actions/setup-r v2 composite
- r-lib/actions/setup-r-dependencies v2 composite