prome
Patient-Reported Outcome Data Analysis with Stan
Estimation for blinding bias in randomized controlled trials with a latent continuous outcome, a binary response depending on treatment and the latent outcome, and a noisy surrogate subject to possibly response-dependent measurement error. Implements EM estimators in R backed by compiled C routines for models with and without the restriction delta0 = 0, and Bayesian Stan wrappers for the same two models. Functions were added for latent outcome models with differential measurement error.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
4.0.0.3 |
rolling linux/jammy R-4.5 | prome_4.0.0.3.tar.gz |
70.2 KiB |
4.0.0.3 |
rolling linux/noble R-4.5 | prome_4.0.0.3.tar.gz |
70.2 KiB |
4.0.0.3 |
rolling source/ R- | prome_4.0.0.3.tar.gz |
15.4 KiB |
4.0.0.3 |
latest linux/jammy R-4.5 | prome_4.0.0.3.tar.gz |
70.2 KiB |
4.0.0.3 |
latest linux/noble R-4.5 | prome_4.0.0.3.tar.gz |
70.2 KiB |
4.0.0.3 |
latest source/ R- | prome_4.0.0.3.tar.gz |
15.4 KiB |
4.0.0.3 |
2026-04-26 source/ R- | prome_4.0.0.3.tar.gz |
15.4 KiB |
4.0.0.3 |
2026-04-23 source/ R- | prome_4.0.0.3.tar.gz |
15.4 KiB |
4.0.0.3 |
2026-04-09 windows/windows R-4.5 | prome_4.0.0.3.zip |
76.5 KiB |
1.9.1.0 |
2025-04-20 source/ R- | prome_1.9.1.0.tar.gz |
26.5 KiB |