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.

debest: Duration Estimation for Biomarker Enrichment Studies and Trials

A general framework using mixture Weibull distributions to accurately predict biomarker-guided trial duration accounting for heterogeneous population. Extensive simulations are performed to evaluate the impact of heterogeneous population and the dynamics of biomarker characteristics and disease on the study duration. Several influential parameters including median survival time, enrollment rate, biomarker prevalence and effect size are identified. Efficiency gains of biomarker-guided trials can be quantitatively compared to the traditional all-comers design. For reference, see Zhang et al. (2024) <doi:10.48550/arXiv.2401.00540>.

Version: 0.1.0
Depends: R (≥ 3.5.0)
Imports: stats, survival, flexsurv
Published: 2024-01-10
DOI: 10.32614/CRAN.package.debest
Author: Hong Zhang ORCID iD [aut, cre]
Maintainer: Hong Zhang <hzhang at wpi.edu>
License: GPL-2
NeedsCompilation: no
CRAN checks: debest results

Documentation:

Reference manual: debest.pdf

Downloads:

Package source: debest_0.1.0.tar.gz
Windows binaries: r-devel: debest_0.1.0.zip, r-release: debest_0.1.0.zip, r-oldrel: debest_0.1.0.zip
macOS binaries: r-release (arm64): debest_0.1.0.tgz, r-oldrel (arm64): debest_0.1.0.tgz, r-release (x86_64): debest_0.1.0.tgz, r-oldrel (x86_64): debest_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=debest 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.