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.


Reference manual

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install.packages("prome")

4.0.2.5 by Bin Wang, 6 months ago


Browse source code at https://github.com/cran/prome


Authors: Bin Wang [aut, cre]


Documentation:   PDF Manual  


Unlimited license


Imports stats, utils, rstan, bridgesampling

Depends on BI

Suggests posterior

Linking to Rcpp, RcppEigen, StanHeaders


See at CRAN