https://github.com/astrazeneca/agpower
agpower: Recurrent event analysis planning using the Andersen-Gill model in R
Science Score: 26.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
-
○Academic publication links
-
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (8.2%) to scientific vocabulary
Repository
agpower: Recurrent event analysis planning using the Andersen-Gill model in R
Basic Info
- Host: GitHub
- Owner: AstraZeneca
- License: apache-2.0
- Language: R
- Default Branch: main
- Size: 401 KB
Statistics
- Stars: 1
- Watchers: 0
- Forks: 0
- Open Issues: 1
- Releases: 3
Metadata Files
README.md
agpower
agpower: Recurrent event analysis planning using the Andersen-Gill model in R
Package implements functions useful in prospective planning and monitoring of a clinical trial when a recurrent event endpoint is to be assessed by Lin, Wei, Yang, and Ying (2010) model. The equations developed in Ingel and Jahn-Eimermacher (2014) and their consequences are employed. In particular functions for sample size planning and assurance calculations are implemented allowing for thorough exploration of the design space (allocation ratio, follow-up time, events targeted, etc.).
The software is implemented in R and tested in version 4.1.0. The software depends on core R, though suggests dplyr, testthat, and tidyr.
After installation, the package may be used as follows: ```{r, eval = FALSE} library("agpower")
power.lwyy.test(N = 1000, RR = 0.8, thta = 1, L = 1000, tau = 0.9, alp = 0.05, ar = 0.5) ```
Further details and example usage is provide in the user manual here: inst/docs/agpower-manual.pdf, or in RStudio via
{r, eval = FALSE}
help(package = "agpower")
Owner
- Name: AstraZeneca
- Login: AstraZeneca
- Kind: organization
- Location: Global
- Website: https://www.astrazeneca.com/
- Repositories: 33
- Profile: https://github.com/AstraZeneca
Data and AI: Unlocking new science insights
GitHub Events
Total
- Create event: 3
- Issues event: 1
- Release event: 3
- Watch event: 2
- Delete event: 2
- Issue comment event: 1
- Push event: 6
- Public event: 1
- Pull request event: 1
Last Year
- Create event: 3
- Issues event: 1
- Release event: 3
- Watch event: 2
- Delete event: 2
- Issue comment event: 1
- Push event: 6
- Public event: 1
- Pull request event: 1
Dependencies
- actions/checkout v4 composite
- r-lib/actions/setup-r f57f1301a053485946083d7a45022b278929a78a composite
- stats * imports
- dplyr * suggests
- testthat >= 3.0.0 suggests
- tidyr * suggests