mmbcv
Multistate Model Bias-Corrected Robust Variance
Computes robust and bias-corrected sandwich variance estimators for multi-state Cox models with clustered time-to-event data. The methodology extends the marginal Cox model bias-correction framework of Wang et al. (2023) <doi:10.1002/bimj.202200113> to the multi-state setting.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.3.0 |
rolling linux/jammy R-4.5 | mmbcv_0.3.0.tar.gz |
103.6 KiB |
0.3.0 |
rolling linux/noble R-4.5 | mmbcv_0.3.0.tar.gz |
103.5 KiB |
0.3.0 |
rolling source/ R- | mmbcv_0.3.0.tar.gz |
64.6 KiB |
0.3.0 |
latest linux/jammy R-4.5 | mmbcv_0.3.0.tar.gz |
103.6 KiB |
0.3.0 |
latest linux/noble R-4.5 | mmbcv_0.3.0.tar.gz |
103.5 KiB |
0.3.0 |
latest source/ R- | mmbcv_0.3.0.tar.gz |
64.6 KiB |
0.3.0 |
2026-04-26 source/ R- | mmbcv_0.3.0.tar.gz |
64.6 KiB |
0.3.0 |
2026-04-23 source/ R- | mmbcv_0.3.0.tar.gz |
64.6 KiB |
0.3.0 |
2026-04-09 windows/windows R-4.5 | mmbcv_0.3.0.zip |
107.0 KiB |