Package: prome 4.0.2.5

Bin Wang
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.
Authors:
prome_4.0.2.5.tar.gz
prome_4.0.2.5.tar.gz(r-4.7-arm64)prome_4.0.2.5.tar.gz(r-4.7-x86_64)prome_4.0.2.5.tar.gz(r-4.6-arm64)prome_4.0.2.5.tar.gz(r-4.6-x86_64)
prome_4.0.2.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
prome/json (API)
| # Install 'prome' in R: |
| install.packages('prome', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:b1501afbb3. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 214 | ||
| linux-devel-x86_64 | OK | 219 | ||
| source / vignettes | OK | 196 | ||
| linux-release-arm64 | OK | 248 | ||
| linux-release-x86_64 | OK | 214 | ||
| wasm-release | OK | 135 |
Exports:blinding.test
Dependencies:abindbackportsBHBIbridgesamplingBrobdingnagcallrcheckmateclicodacpp11descdistributionalfarvergenericsggplot2gluegridExtragtableinlineisobandlabelinglatticelifecycleloomagrittrMatrixmatrixStatsmvtnormnumDerivpillarpkgbuildpkgconfigposteriorprocessxpsQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelrlangrstanS7scalesStanHeadersstringistringrtensorAtibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Unblinding bias correction | blinding.test test.stan |