Package: debest 0.1.0

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) <arxiv:2401.00540>.

Authors:Hong Zhang [aut, cre]

debest_0.1.0.tar.gz
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manual.pdf |manual.html✨
card.svg |card.png
debest/json (API)

# Install 'debest' in R:
install.packages('debest', repos = c('https://wpihongzhang.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • dat_udca - A derived biomarker dataset from a trial of usrodeoxycholic acid

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 150 downloads 3 exports 52 dependencies

Last updated from:9177fd75c7. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK151
source / vignettesOK225
linux-release-x86_64OK197
macos-release-arm64OK141
macos-oldrel-arm64OK87
windows-develOK105
windows-releaseOK94
windows-oldrelOK123
wasm-releaseOK111

Exports:calcDurationgetBetagetWeilbull

Dependencies:assertthatbbmlebdsmatrixclicpp11data.tabledeSolvedplyrfarverfastGHQuadflexsurvgenericsggplot2gluegtableisobandlabelinglatticelifecyclelsodamagrittrMASSMatrixmgcvmstatemuhazmvtnormnlmenumDerivpillarpkgconfigpurrrquadprogR6RColorBrewerRcppRcppArmadillorlangrstpm2S7scalesstatmodstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr