survmixer
Design of Clinical Trials with Survival Endpoints Based on Binary Responses
Sample size and effect size calculations for survival endpoints based on mixture survival-by-response model. The methods implemented can be found in Bofill, Shen & Gómez (2021) doi:10.48550/arXiv.2008.12887.
- Version1.3
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Last release03/31/2021
Team
Marta Bofill Roig
MaintainerShow author detailsGuadalupe Gomez Melis
Show author detailsRolesContributorYu Shen
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 141 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 2,085 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Sep 11, 2024 with 26 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