Package: accrual 1.4
Junhao Liu
accrual: Bayesian Accrual Prediction
Participant recruitment for medical research is challenging. Slow accrual leads to delays in research. Accrual monitoring during the process of recruitment is critical. Researchers need reliable tools to manage the accrual rate. We developed a Bayesian method that integrates the researcher's experience with previous trials and data from the current study, providing reliable predictions on accrual rate for clinical studies. For more details and background on these methodologies, see the publications of Byron, Stephen and Susan (2008) <doi:10.1002/sim.3128>, and Yu et al. (2015) <doi:10.1002/sim.6359>. In this R package, Bayesian accrual prediction functions are presented, which can be easily used by statisticians and clinical researchers.
Authors:
accrual_1.4.tar.gz
accrual_1.4.tar.gz(r-4.7-any)accrual_1.4.tar.gz(r-4.6-any)
accrual_1.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
accrual/json (API)
| # Install 'accrual' in R: |
| install.packages('accrual', 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:a86aba9b03. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 116 | ||
| source / vignettes | OK | 162 | ||
| linux-release-x86_64 | OK | 135 | ||
| wasm-release | OK | 103 |
Exports:accrual.dataaccrual.guiaccrual.multi.naccrual.n.hedgingaccrual.n.informaccrual.n.plotaccrual.plot.multicenteraccrual.plotsaccrual.T.hedgingaccrual.T.informaccrual.T.plot
Dependencies:ellipsefguilatticeMASSMatrixnlmeSMPracticalssurvivaltcltk2
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Bayesian Accrual Prediction | accrual-package accrual |
| Example Accrual Data | accrual.data |
| GUI Version of Bayesian Accrual Prediction | accrual.gui |
| Prediction of Multi-center Accrual with Informative Prior in Fixed Time Frame | accrual.multi.n |
| Prediction of Accrual with Hedging Prior in Fixed Time Frame | accrual.n.hedging |
| Prediction of Accrual with Informative Prior in Fixed Time Frame | accrual.n.inform |
| Plot for Prediction of Accrual in Fixed Time Frame | accrual.n.plot |
| Plot for Prediction of Multi-center Accrual in Fixed Time Frame | accrual.plot.multicenter |
| Diagnostic Plots | accrual.plots |
| Prediction of Time with Hedging Prior | accrual.T.hedging |
| Prediction of Time with Informative Prior | accrual.T.inform |
| Plot for Prediction of Time | accrual.T.plot |