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.
| Version: | 4.0.0.3 |
| Depends: | R (≥ 4.1.0) |
| Imports: | stats, utils, rstan |
| LinkingTo: | Rcpp, RcppEigen, StanHeaders |
| Suggests: | posterior |
| Published: | 2026-03-22 |
| DOI: | 10.32614/CRAN.package.prome |
| Author: | Bin Wang [aut, cre] |
| Maintainer: | Bin Wang <bwang831 at gmail.com> |
| License: | Unlimited |
| NeedsCompilation: | yes |
| CRAN checks: | prome results |
| Reference manual: | prome.html , prome.pdf |
| Package source: | prome_4.0.0.3.tar.gz |
| Windows binaries: | r-devel: prome_4.0.0.3.zip, r-release: prome_4.0.0.3.zip, r-oldrel: prome_4.0.0.3.zip |
| macOS binaries: | r-release (arm64): prome_4.0.0.3.tgz, r-oldrel (arm64): prome_3.1.0.1.tgz, r-release (x86_64): prome_4.0.0.3.tgz, r-oldrel (x86_64): prome_4.0.0.3.tgz |
| Old sources: | prome archive |
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