curesurv
Mixture and Non Mixture Parametric Cure Models to Estimate Cure Indicators
Fits a variety of cure models using excess hazard modeling methodology such as the mixture model proposed by Phillips et al. (2002) doi:10.1002/sim.1101 The Weibull distribution is used to represent the survival function of the uncured patients; Fits also non-mixture cure model such as the time-to-null excess hazard model proposed by Boussari et al. (2020) doi:10.1111/biom.13361.
- Version0.1.1
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?No
- curesurv citation info
- Last release09/17/2024
Documentation
Team
Juste Goungounga
Judith Breaud
Olayide Boussari
Valerie Jooste
Insights
Last 30 days
This package has been downloaded 272 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 4 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 1,301 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 Mar 13, 2025 with 31 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
- Depends2 packages
- Imports7 packages
- Suggests5 packages