tehtuner
Fit and Tune Models to Detect Treatment Effect Heterogeneity
Implements methods to fit Virtual Twins models (Foster et al. (2011) <doi:10.1002/sim.4322>) for identifying subgroups with differential effects in the context of clinical trials while controlling the probability of falsely detecting a differential effect when the conditional average treatment effect is uniform across the study population using parameter selection methods proposed in Wolf et al. (2022) <doi:10.1177/17407745221095855>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.3.0 |
rolling linux/jammy R-4.5 | tehtuner_0.3.0.tar.gz |
184.6 KiB |
0.3.0 |
rolling linux/noble R-4.5 | tehtuner_0.3.0.tar.gz |
184.7 KiB |
0.3.0 |
rolling source/ R- | tehtuner_0.3.0.tar.gz |
124.0 KiB |
0.3.0 |
latest linux/jammy R-4.5 | tehtuner_0.3.0.tar.gz |
184.6 KiB |
0.3.0 |
latest linux/noble R-4.5 | tehtuner_0.3.0.tar.gz |
184.7 KiB |
0.3.0 |
latest source/ R- | tehtuner_0.3.0.tar.gz |
124.0 KiB |
0.3.0 |
2026-04-26 source/ R- | tehtuner_0.3.0.tar.gz |
124.0 KiB |
0.3.0 |
2026-04-23 source/ R- | tehtuner_0.3.0.tar.gz |
124.0 KiB |
0.3.0 |
2026-04-09 windows/windows R-4.5 | tehtuner_0.3.0.zip |
188.9 KiB |
0.3.0 |
2025-04-20 source/ R- | tehtuner_0.3.0.tar.gz |
124.0 KiB |