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.

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

Documentation:

Reference manual: prome.html , prome.pdf

Downloads:

Package source: prome_4.0.0.3.tar.gz
Windows binaries: r-devel: prome_3.1.0.1.zip, r-release: prome_3.1.0.1.zip, r-oldrel: prome_3.1.0.1.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

Linking:

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