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WINS  

The R WINS Package
View on CRAN: Click here


Download and install WINS package within the R console
Install from CRAN:
install.packages("WINS")

Install from Github:
library("remotes")
install_github("cran/WINS")

Install by package version:
library("remotes")
install_version("WINS", "1.4.3")



Attach the package and use:
library("WINS")
Maintained by
Ying Cui
[Scholar Profile | Author Map]
First Published: 2021-12-16
Latest Update: 2023-07-09
Description:
Calculate the win statistics (win ratio, net benefit and win odds) for prioritized multiple endpoints, plot the win statistics and win proportions over study time if at least one time-to-event endpoint is analyzed, and simulate datasets with dependent endpoints. The package can handle any type of outcomes (continuous, ordinal, binary, time-to-event) and allow users to perform stratified analysis, inverse probability of censoring weighting (IPCW) and inverse probability of treatment weighting (IPTW) analysis.
How to cite:
Ying Cui (2021). WINS: The R WINS Package. R package version 1.4.3, https://cran.r-project.org/web/packages/WINS. Accessed 07 Apr. 2025.
Previous versions and publish date:
1.0 (2021-12-16 11:20), 1.1 (2022-02-03 19:50), 1.2 (2022-07-18 10:00), 1.3.2 (2022-09-30 09:00), 1.3.3 (2023-07-09 11:00), 1.3 (2022-09-09 08:42), 1.4.1 (2024-04-19 20:42), 1.4.2 (2024-04-29 23:20), 1.4 (2024-04-08 00:33)
Other packages that cited WINS R package
View WINS citation profile
Other R packages that WINS depends, imports, suggests or enhances
Complete documentation for WINS
Downloads during the last 30 days
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