The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

eventPred: Event Prediction

Predicts enrollment and events at the design or analysis stage using specified enrollment and time-to-event models through simulations.

Version: 0.2.5
Depends: R (≥ 3.5.0)
Imports: dplyr (≥ 1.1.0), rlang (≥ 1.0.6), plotly (≥ 4.10.1), survival (≥ 2.41-3), splines (≥ 3.5.0), Matrix (≥ 1.2-14), mvtnorm (≥ 1.1-3), rstpm2 (≥ 1.6.1), numDeriv (≥ 2016.8-1.1), purrr (≥ 1.0.2), flexsurv (≥ 2.2.2), erify (≥ 0.4.0), stats (≥ 3.5.0), shiny (≥ 1.7.1)
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2024-02-28
Author: Kaifeng Lu ORCID iD [aut, cre]
Maintainer: Kaifeng Lu <kaifenglu at gmail.com>
BugReports: https://github.com/kaifenglu/eventPred/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/kaifenglu/eventPred
NeedsCompilation: no
Materials: NEWS
CRAN checks: eventPred results

Documentation:

Reference manual: eventPred.pdf
Vignettes: Event Prediction after Enrollment Completion
Event Prediction at the Design Stage
Event Prediction before Enrollment Completion
Event Prediction Incorporating Covariates
Event Prediction Incorporating Prior Information

Downloads:

Package source: eventPred_0.2.5.tar.gz
Windows binaries: r-devel: eventPred_0.2.5.zip, r-release: eventPred_0.2.5.zip, r-oldrel: eventPred_0.2.5.zip
macOS binaries: r-release (arm64): eventPred_0.2.5.tgz, r-oldrel (arm64): eventPred_0.2.5.tgz, r-release (x86_64): eventPred_0.2.5.tgz, r-oldrel (x86_64): eventPred_0.2.5.tgz
Old sources: eventPred archive

Reverse dependencies:

Reverse imports: drugDemand

Linking:

Please use the canonical form https://CRAN.R-project.org/package=eventPred to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.