bfboin

https://github.com/openpharma/bfboin

Science Score: 36.0%

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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codemeta.json file
Found codemeta.json file
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.zenodo.json file
Found .zenodo.json file
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DOI references
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Academic publication links
Links to: pubmed.ncbi, ncbi.nlm.nih.gov
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Academic email domains
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JOSS paper metadata
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Scientific vocabulary similarity
Low similarity (9.1%) to scientific vocabulary

Last synced: 10 months ago · JSON representation

Repository

Basic Info

Host: GitHub
Owner: openpharma
License: gpl-3.0
Language: R
Default Branch: main
Size: 1.16 MB

Statistics

Stars: 1
Watchers: 1
Forks: 0
Open Issues: 1
Releases: 0

Created about 1 year ago · Last pushed 11 months 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%"
)
```

# bfboin




The goal of bfboin is to provide an independent implementation of the [BF-BOIN design](https://pubmed.ncbi.nlm.nih.gov/38048044/) of Zhou et al. (2024), aiming to reproduce the functionality of the [shiny app by MD Anderson](https://biostatistics.mdanderson.org/shinyapps/BF-BOIN/).

Zhao, Y., Yuan, Y., Korn, E.L. and Freidlin, B., 2024. Backfilling patients in phase I dose-escalation trials using Bayesian optimal interval design (BOIN). Clinical Cancer Research, 30(4), pp.673-679.

## Installation

You can install the development version of bfboin like so:

``` r
# install.packages("devtools")
devtools::install_github("openpharma/bfboin")
```


## Example


```{r example}
library(bfboin)
## basic example code
get.oc.bf(ntrial = 100,
          seed = 9,
          target = 0.25,
          p.true = c(0.1, 0.5),
          ncohort = 10,
          cohortsize = 3,
          n.earlystop = 9,
          startdose = 1,
          titration = FALSE,
          cutoff.eli = 0.95,
          extrasafe = TRUE,
          offset = 0.1,
          boundMTD=FALSE,
          n.cap = 12,
          end.backfill = TRUE,
          n.per.month = 1,
          dlt.window = 1,
          p.response.true = c(0.001, 0.001),
          accrual = "uniform")
```

Owner

Name: openpharma
Login: openpharma
Kind: organization

Website: openpharma.github.io
Repositories: 30
Profile: https://github.com/openpharma

Further precompetitive collaboration in life sciences

GitHub Events

Total

Issues event: 2
Watch event: 1
Push event: 7
Public event: 1
Pull request event: 2
Create event: 1

Last Year

Issues event: 2
Watch event: 1
Push event: 7
Public event: 1
Pull request event: 2
Create event: 1

Issues and Pull Requests

Last synced: 10 months ago

All Time

Total issues: 1
Total pull requests: 1
Average time to close issues: 5 days
Average time to close pull requests: less than a minute
Total issue authors: 1
Total pull request authors: 1
Average comments per issue: 0.0
Average comments per pull request: 0.0
Merged pull requests: 1
Bot issues: 0
Bot pull requests: 0

Past Year

Issues: 1
Pull requests: 1
Average time to close issues: 5 days
Average time to close pull requests: less than a minute
Issue authors: 1
Pull request authors: 1
Average comments per issue: 0.0
Average comments per pull request: 0.0
Merged pull requests: 1
Bot issues: 0
Bot pull requests: 0

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Top Authors

Issue Authors

dominicmagirr (2)

Pull Request Authors

dominicmagirr (2)

Top Labels

Issue Labels

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Packages

Total packages: 1
Total downloads:
- cran 250 last-month

Total dependent packages: 0
Total dependent repositories: 0
Total versions: 2
Total maintainers: 1

cran.r-project.org: bfboin

Operating Characteristics for the Bayesian Optimal Interval Design with Back Filling

Homepage: https://openpharma.github.io/bfboin/
Documentation: http://cran.r-project.org/web/packages/bfboin/bfboin.pdf
License: GPL (≥ 3)
Latest release: 0.1.1
published 11 months ago

Versions: 2
Dependent Packages: 0
Dependent Repositories: 0
Downloads: 250 Last month

Rankings

Dependent packages count: 26.4%

Dependent repos count: 32.5%

Average: 48.5%

Downloads: 86.6%

Maintainers (1)

dominic.magirr@novartis.com