WR
Win Ratio Analysis of Composite Time-to-Event Outcomes
Implements various win ratio methodologies for composite endpoints of death and non-fatal events, including the (stratified) proportional win-fractions (PW) regression models (doi:10.1111/biom.13382), (stratified) two-sample tests with possibly recurrent nonfatal event, and sample size calculation for standard win ratio test (doi:10.1111/biom.13501).
- Version1.0
- R version≥ 3.5.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release11/26/2021
Documentation
- VignetteProportional win-fractions (PW) regression of composite endpoints of death and nonfatal event
- VignetteStratified proportional win-fractions (PW) regression of composite endpoints of death and nonfatal event
- VignetteSample size calculation for standard win ratio test
- VignetteTwo-sample win ratio tests of recurrent event and death
Team
Lu Mao and Tuo Wang
Insights
Last 30 days
This package has been downloaded 153 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 3 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 2,604 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Jul 21, 2024 with 152 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports3 packages
- Suggests2 packages