DTRreg
DTR Estimation and Inference via G-Estimation, Dynamic WOLS, Q-Learning, and Dynamic Weighted Survival Modeling (DWSurv)
Dynamic treatment regime estimation and inference via G-estimation, dynamic weighted ordinary least squares (dWOLS) and Q-learning. Inference via bootstrap and recursive sandwich estimation. Estimation and inference for survival outcomes via Dynamic Weighted Survival Modeling (DWSurv). Extension to continuous treatment variables. doi:10.18637/jss.v080.i02; doi:10.1080/00949655.2020.1793341.
- Version2.2
- R version≥ 3.5.0
- LicenseGPL-2
- Needs compilation?No
- Wallace et al. (2017)
- Simoneau et al. (2020)
- Last release03/23/2024
Documentation
Team
Shannon T. Holloway
Michael Wallace
Erica E M Moodie
David A Stephens
Gabrielle Simoneau
Juliana Schulz
Insights
Last 30 days
This package has been downloaded 327 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 7 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 4,592 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 50 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
- Imports2 packages