Data

Tools

Indexes

Applications

Experiments

Open Source Science

bayesCT

Adaptive Bayesian Clinical Trial

https://github.com/thevaachandereng/bayesct

Science Score: 10.0%

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

  • ○
    CITATION.cff file
  • ○
    codemeta.json file
  • ○
    .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ✓
    Committers with academic emails
    1 of 3 committers (33.3%) from academic institutions
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (21.2%) to scientific vocabulary

Keywords

adaptive bayesian-methods bayesian-trial clinical-trials statistical-power
Last synced: 6 months ago · JSON representation

Repository

Adaptive Bayesian Clinical Trial

Basic Info
Statistics
  • Stars: 14
  • Watchers: 5
  • Forks: 7
  • Open Issues: 9
  • Releases: 0
Topics
adaptive bayesian-methods bayesian-trial clinical-trials statistical-power
Created over 7 years ago · Last pushed over 5 years ago
Metadata Files
Readme License

README.Rmd 

---
output: github_document
---



```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)
```

# bayesCT 


[![Build Status](https://travis-ci.org/thevaachandereng/bayesCT.svg?branch=master)](https://travis-ci.org/thevaachandereng/bayesCT)
[![CRAN_Status_Badge](https://www.r-pkg.org/badges/version/bayesCT)](https://cran.r-project.org/package=bayesCT)
[![Download_Badge](https://cranlogs.r-pkg.org/badges/bayesCT)](https://cran.r-project.org/package=bayesCT)
[![License: GPL v3](https://img.shields.io/badge/License-GPL%20v3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0)
[![contributions welcome](https://img.shields.io/badge/contributions-welcome-brightgreen.svg?style=flat)](https://github.com/donaldmusgrove/bayesDP/issues)
[![Build status](https://ci.appveyor.com/api/projects/status/2wfwigrrcpom0oi9/branch/master?svg=true)](https://ci.appveyor.com/project/thevaachandereng/bayesct/branch/master)
[![codecov](https://codecov.io/gh/thevaachandereng/bayesCT/branch/master/graph/badge.svg)](https://codecov.io/gh/thevaachandereng/bayesCT)
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/thevaachandereng/bayesCT/master?urlpath=rstudio)
[![lifecycle](https://img.shields.io/badge/lifecycle-stable-green.svg)](https://www.tidyverse.org/lifecycle/#stable)


# Overview

`bayesCT` is a R package for simulation and analysis of adaptive Bayesian randomized controlled trials under a range of trial designs and outcome types. Currently, it supports Gaussian, binomial, and time-to-event. The `bayesCT` package website is available [here](https://thevaachandereng.github.io/bayesCT/). Please note this package is still under development. 

# Installation

Prior to analyzing your data, the R package needs to be installed. The easiest way to install `bayesCT` is through CRAN:

```{r, eval=FALSE}
install.packages("bayesCT")
```

`bayesCT` can also be downloaded and installed via GitHub. The most useful if want to download a *specific* version of the package (which can be found at https://github.com/thevaachandereng/bayesCT/releases):

```{r, eval=FALSE} 
devtools::install_github("thevaachandereng/bayesCT@vx.xx.x")

# or 

devtools::install_version("bayesCT", version = "x.x.x", repos = "http://cran.us.r-project.org")
```

The latest developmental version of the package can be downloaded and installed by running: 

```{r, eval=FALSE}
devtools::install_github("thevaachandereng/bayesCT")
```

After successful installation, the package must be loaded into the working space:

```{r, eval=FALSE} 
library(bayesCT)
```

# Usage

See the vignettes for usage instructions and example.

# Code of Conduct

Please note that this project is released with a [Contributor Code of Conduct](https://github.com/thevaachandereng/bayesCT/blob/master/CONDUCT.md).
By participating in this project you agree to abide by its terms.

# License

`bayesCT` is available under the open source [GNU General Public License, version 3](https://www.r-project.org/Licenses/GPL-3).

Owner

  • Name: Thevaa Chandereng
  • Login: thevaachandereng
  • Kind: user
  • Location: New York, NY, USA
  • Company: Columbia University

GitHub Events

Total
  • Watch event: 1
  • Fork event: 1
Last Year
  • Watch event: 1
  • Fork event: 1

Committers

Last synced: almost 3 years ago

All Time
  • Total Commits: 562
  • Total Committers: 3
  • Avg Commits per committer: 187.333
  • Development Distribution Score (DDS): 0.08
Top Committers
Name Email Commits
Thevaa Chandereng c****g@w****u 517
Graeme Hickey g****y@g****m 39
Donnie M d****e@g****m 6
Committer Domains (Top 20 + Academic)
wisc.edu: 1

Issues and Pull Requests

Last synced: 11 months ago

All Time
  • Total issues: 27
  • Total pull requests: 18
  • Average time to close issues: 3 months
  • Average time to close pull requests: 1 day
  • Total issue authors: 4
  • Total pull request authors: 2
  • Average comments per issue: 0.48
  • Average comments per pull request: 0.56
  • Merged pull requests: 18
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • graemeleehickey (23)
  • thevaachandereng (2)
  • jcwie (1)
  • roseannwhite (1)
Pull Request Authors
  • graemeleehickey (11)
  • thevaachandereng (7)
Top Labels
Issue Labels
enhancement (9) bug (5) question (5) help wanted (1)
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • cran 274 last-month
  • Total docker downloads: 41,971
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 4
  • Total maintainers: 1
cran.r-project.org: bayesCT

Simulation and Analysis of Adaptive Bayesian Clinical Trials

  • Versions: 4
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 274 Last month
  • Docker Downloads: 41,971
Rankings
Forks count: 10.1%
Stargazers count: 17.0%
Average: 25.8%
Dependent packages count: 29.8%
Dependent repos count: 35.5%
Downloads: 36.9%
Maintainers (1)
chandereng@wisc.edu
Last synced: 10 months ago

Dependencies

DESCRIPTION cran
  • R >= 2.10 depends
  • bayesDP * imports
  • dplyr * imports
  • magrittr >= 1.5 imports
  • purrr * imports
  • survival * imports
  • devtools * suggests
  • knitr * suggests
  • pkgdown * suggests
  • rmarkdown * suggests
  • testthat * suggests