LTRCforests
Ensemble Methods for Survival Data with Time-Varying Covariates
Implements the conditional inference forest and relative risk forest algorithm to modeling left-truncated right-censored data with time-invariant covariates, and (left-truncated) right-censored survival data with time-varying covariates. It also provides functions to tune the parameters and evaluate the model fit. See Yao et al. (2022) doi:10.1177/09622802221111549.
- Version0.7.0
- R version≥ 3.5.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release11/30/2023
Team
Weichi Yao
Denis Larocque
Show author detailsRolesAuthorHalina Frydman
Show author detailsRolesAuthorJeffrey S. Simonoff
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 71 times in the last 30 days. This number of downloads could probably be counted on one hand. Well, maybe two hands and a couple of toes. 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 2,302 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 Sep 11, 2024 with 33 downloads.
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Dependencies
- Imports4 packages
- Suggests2 packages