coxrobust
Fit Robustly Proportional Hazards Regression Model
An implementation of robust estimation in Cox model. Functionality includes fitting efficiently and robustly Cox proportional hazards regression model in its basic form, where explanatory variables are time independent with one event per subject. Method is based on a smooth modification of the partial likelihood.
- Version1.0.1
- R versionunknown
- LicenseGPL-3
- Needs compilation?Yes
- Last release04/06/2022
Documentation
Team
Shana Scogin
Tadeusz Bednarski
Show author detailsRolesAuthorFilip Borowicz
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 255 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 1 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 3,241 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Sep 11, 2024 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.
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Dependencies
- Imports1 package
- Suggests2 packages
- Linking To2 packages
- Reverse Imports1 package