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ASSISTant

Adaptive Subgroup Selection In Group Sequential Trials

https://github.com/bnaras/assistant

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 2 committers (50.0%) from academic institutions
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (5.4%) to scientific vocabulary
Last synced: 9 months ago · JSON representation

Repository

Adaptive Subgroup Selection In Group Sequential Trials

Basic Info
  • Host: GitHub
  • Owner: bnaras
  • Language: HTML
  • Default Branch: master
  • Size: 938 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 10 years ago · Last pushed over 6 years ago
Metadata Files
Readme

README.Rmd 

---
output: github_document
---



# ASSISTant

[![Travis-CI Build Status](https://travis-ci.org/bnaras/ASSISTant.svg?branch=master)](https://travis-ci.org/bnaras/ASSISTant)
[![CRAN_Status_Badge](http://www.r-pkg.org/badges/version/ASSISTant)](https://cran.r-project.org/package=ASSISTant)
[![](https://cranlogs.r-pkg.org/badges/ASSISTant)](https://CRAN.R-project.org/package=ASSISTant)

`ASSISTant` is a package to assist in performing **A**daptive
**S**ubgroup **S**election **I**n **S**equential **T**rials. 

`ASSISTant` provides a three-stage adaptive group sequential clinical
trial design with provision for selecting a subgroup where the
treatment may be effective.  The package provides facilities for
design, exploration and analysis of such trials using either
continuous or discrete outcomes. A complete implementation of the
initial design for the DEFUSE-3 trial is also provided as a vignette.

Owner

  • Name: Balasubramanian Narasimhan
  • Login: bnaras
  • Kind: user
  • Location: 390 Jane Stanford Way, Stanford, CA 94305
  • Company: Stanford University

GitHub Events

Total
Last Year

Committers

Last synced: about 3 years ago

All Time
  • Total Commits: 36
  • Total Committers: 2
  • Avg Commits per committer: 18.0
  • Development Distribution Score (DDS): 0.056
Top Committers
Name Email Commits
Balasubramanian Narasimhan b****s@g****m 34
Balasubramanian Narasimhan n****s@b****u 2
Committer Domains (Top 20 + Academic)
bheeshma.stanford.edu: 1

Issues and Pull Requests

Last synced: 10 months ago

All Time
  • Total issues: 0
  • Total pull requests: 12
  • Average time to close issues: N/A
  • Average time to close pull requests: less than a minute
  • Total issue authors: 0
  • Total pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 12
  • 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
Pull Request Authors
  • bnaras (12)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • cran 353 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 4
  • Total maintainers: 1
cran.r-project.org: ASSISTant

Adaptive Subgroup Selection in Group Sequential Trials

  • Versions: 4
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 353 Last month
Rankings
Forks count: 28.8%
Dependent packages count: 29.8%
Average: 32.5%
Downloads: 33.2%
Stargazers count: 35.2%
Dependent repos count: 35.5%
Maintainers (1)
naras@stat.Stanford.EDU
Last synced: 10 months ago

Dependencies

DESCRIPTION cran
  • R6 * imports
  • dplyr * imports
  • knitr * imports
  • magrittr * imports
  • mvtnorm * imports
  • rmarkdown * suggests