transmdl
Semiparametric Transformation Models
To make the semiparametric transformation models easier to apply in real studies, we introduce this R package, in which the MLE in transformation models via an EM algorithm proposed by Zeng D, Lin DY(2007) <doi:10.1111/j.1369-7412.2007.00606.x> and adaptive lasso method in transformation models proposed by Liu XX, Zeng D(2013) <doi:10.1093/biomet/ast029> are implemented. C++ functions are used to compute complex loops. The coefficient vector and cumulative baseline hazard function can be estimated, along with the corresponding standard errors and P values.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | transmdl_0.1.0.tar.gz |
99.9 KiB |
0.1.0 |
rolling linux/noble R-4.5 | transmdl_0.1.0.tar.gz |
101.4 KiB |
0.1.0 |
rolling source/ R- | transmdl_0.1.0.tar.gz |
15.3 KiB |
0.1.0 |
latest linux/jammy R-4.5 | transmdl_0.1.0.tar.gz |
99.9 KiB |
0.1.0 |
latest linux/noble R-4.5 | transmdl_0.1.0.tar.gz |
101.4 KiB |
0.1.0 |
latest source/ R- | transmdl_0.1.0.tar.gz |
15.3 KiB |
0.1.0 |
2026-04-26 source/ R- | transmdl_0.1.0.tar.gz |
15.3 KiB |
0.1.0 |
2026-04-23 source/ R- | transmdl_0.1.0.tar.gz |
15.3 KiB |
0.1.0 |
2026-04-09 windows/windows R-4.5 | transmdl_0.1.0.zip |
422.5 KiB |
0.1.0 |
2025-04-20 source/ R- | transmdl_0.1.0.tar.gz |
15.3 KiB |