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robincar2

https://github.com/openpharma/robincar2

Science Score: 49.0%

This score indicates how likely this project is to be science-related based on various indicators:

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    CITATION.cff file
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    DOI references
    Found 10 DOI reference(s) in README
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    Links to: arxiv.org, pubmed.ncbi, ncbi.nlm.nih.gov
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    Low similarity (13.1%) to scientific vocabulary
Last synced: 6 months ago · JSON representation

Repository

Basic Info
Statistics
  • Stars: 13
  • Watchers: 6
  • Forks: 1
  • Open Issues: 1
  • Releases: 2
Created over 2 years ago · Last pushed 6 months ago
Metadata Files
Readme Changelog

README.Rmd 

---
output: github_document
---





# RobinCar2

```{r, echo = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "README-"
)
```



[![Project Status: Active – The project has reached a stable, usable state and is being actively developed.](https://www.repostatus.org/badges/latest/active.svg)](https://www.repostatus.org/#active) [![CRAN status](https://www.r-pkg.org/badges/version-last-release/RobinCar2)](https://www.r-pkg.org/badges/version-last-release/RobinCar2) [![CRAN monthly downloads](https://cranlogs.r-pkg.org/badges/RobinCar2)](https://cranlogs.r-pkg.org/badges/RobinCar2) [![CRAN total downloads](https://cranlogs.r-pkg.org/badges/grand-total/RobinCar2)](https://cranlogs.r-pkg.org/badges/grand-total/RobinCar2) [![Code Coverage](https://raw.githubusercontent.com/openpharma/RobinCar2/_xml_coverage_reports/data/main/badge.svg)](https://raw.githubusercontent.com/openpharma/RobinCar2/_xml_coverage_reports/data/main/coverage.xml)



\

RobinCar2 is a package that provides robust covariate adjustment methods for estimating and inferring treatment effects under stratified randomization. The implemented methods follow the [FDA's final guidance on covariate adjustment](https://www.regulations.gov/docket/FDA-2019-D-0934) and are supported by a well-established body of literature. For linear adjustment, see, for example, [Tsiatis (2008)](https://pubmed.ncbi.nlm.nih.gov/17960577/), [Bugni et al. (2018)](https://pubmed.ncbi.nlm.nih.gov/30906087/), [Ye, Shao, Yi, and Zhao (2023)](https://doi.org/10.1080/01621459.2022.2049278), and [Ye, Shao, and Yi (2022)](https://doi.org/10.1093/biomet/asab015). For nonlinear adjustment, see, e.g., [Rosenblum and van der Laan (2010)](https://www.degruyter.com/document/doi/10.2202/1557-4679.1138/html?lang=en&srsltid=AfmBOoo_ikKbaLeBYcxie-99GCMnZfRNzf6aGn8Uxxnw0X3boYtm69U0), [Wang et al. (2021)](https://doi.org/10.1080/01621459.2021.1981338), [Ye, Bannick, Yi, and Shao (2023)](https://doi.org/10.1080/24754269.2023.2205802), and [Bannick, Shao, Liu, Du, Yi, and Ye (2024)](https://arxiv.org/abs/2306.10213).

All the following papers (added above) are cited in the FDA guidance.

-   Bugni, F, IA Canay, and AM Shaikh, 2018, Inference Under Covariate-Adaptive Randomization, Journal of the American Statistical Association, 113(524):1784-1796.

-   Tsiatis, AA, M Davidian, M Zhang, and X Lu, 2008, Covariate Adjustment for Two-Sample Treatment Comparisons in Randomized Trials: A Principled Yet Flexible Approach, Statistics in Medicine, 27(23):4658-4677.

-   Wang, B, R Susukida, R Mojtabai, M Amin-Esmaeili, and M Rosemblum, 2021. Model-Robust Inference for Clinical Trials that Improve Precision by Stratified Randomization and Covariate Adjustment, Journal of the American Statistical Association, doi: 10.1080/01621459.2021.1981338.

-   Rosenblum, M and MJ van der Laan, 2010, Simple, Efficient Estimators of Treatment Effects in Randomized Trials Using Generalized Linear Models to Leverage Baseline Variables, International Journal of Biostatistics, 6(1):13.

## Installation

### Development

You can install the current development version from `github` with:

```{r gh-installation, eval = FALSE}
if (!require("remotes")) {
  install.packages("remotes")
}

remotes::install_github(
  "openpharma/RobinCar2"
)
```

## Citing `RobinCar2`

To cite `RobinCar2` please see [here](https://openpharma.github.io/RobinCar2/main/authors.html#citation).

## Acknowledgement

This package is supported by [ASA-BIOP Covariate Adjustment SWG Software Subteam](https://carswg.github.io/subteam_software.html).

Owner

  • Name: openpharma
  • Login: openpharma
  • Kind: organization

Further precompetitive collaboration in life sciences

GitHub Events

Total
  • Create event: 25
  • Release event: 5
  • Issues event: 26
  • Watch event: 6
  • Delete event: 17
  • Member event: 1
  • Issue comment event: 61
  • Push event: 399
  • Pull request review comment event: 42
  • Pull request review event: 55
  • Pull request event: 42
Last Year
  • Create event: 25
  • Release event: 5
  • Issues event: 26
  • Watch event: 6
  • Delete event: 17
  • Member event: 1
  • Issue comment event: 61
  • Push event: 399
  • Pull request review comment event: 42
  • Pull request review event: 55
  • Pull request event: 42

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 34
  • Total pull requests: 49
  • Average time to close issues: 3 months
  • Average time to close pull requests: 19 days
  • Total issue authors: 6
  • Total pull request authors: 5
  • Average comments per issue: 0.32
  • Average comments per pull request: 2.33
  • Merged pull requests: 41
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 17
  • Pull requests: 31
  • Average time to close issues: 16 days
  • Average time to close pull requests: 9 days
  • Issue authors: 5
  • Pull request authors: 4
  • Average comments per issue: 0.47
  • Average comments per pull request: 2.45
  • Merged pull requests: 26
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • clarkliming (20)
  • mbannick (4)
  • danielinteractive (3)
  • xidongdxi (2)
  • hoppanda (1)
  • stanislashubeaux (1)
Pull Request Authors
  • clarkliming (50)
  • mbannick (11)
  • danielinteractive (6)
  • hoppanda (5)
  • xidongdxi (2)
Top Labels
Issue Labels
question (1) design (1)
Pull Request Labels
bug (2) documentation (1)

Packages

  • Total packages: 1
  • Total downloads:
    • cran 95 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 1
  • Total maintainers: 1
cran.r-project.org: RobinCar2

ROBust INference for Covariate Adjustment in Randomized Clinical Trials

  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 95 Last month
Rankings
Dependent packages count: 26.9%
Dependent repos count: 33.1%
Average: 48.9%
Downloads: 86.9%
Maintainers (1)
liming.li1@astrazeneca.com
Last synced: 6 months ago

Dependencies

.github/workflows/check.yaml actions
.github/workflows/docs.yaml actions
.github/workflows/release.yaml actions
DESCRIPTION cran
  • R >= 3.6 depends
  • plumber * imports
  • shiny * imports
  • stringr * imports
  • future * suggests
  • httr * suggests
  • knitr * suggests
  • shinytest * suggests
  • testthat >= 2.0 suggests