Package: HybridDesign 1.0

Heng Zhou

HybridDesign: Hybrid Design for Phase I Dose-Finding Studies

The Hybrid design is a combination of model-assisted design (e.g., the modified Toxicity Probability Interval design) with dose-toxicity model-based design for phase I dose-finding studies. The hybrid design controls the overdosing toxicity well and leads to a recommended dose closer to the true maximum tolerated dose (MTD) due to its ability to calibrate for an intermediate dose. More details can be found in Liao et al. 2022 <doi:10.1002/ijc.34203>.

Authors:Heng Zhou [aut, cre], Feng Zhou [aut], Jason Liao [aut]

HybridDesign_1.0.tar.gz
HybridDesign_1.0.tar.gz(r-4.7-any)HybridDesign_1.0.tar.gz(r-4.6-any)
HybridDesign_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
HybridDesign/json (API)

# Install 'HybridDesign' in R:
install.packages('HybridDesign', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

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 238 downloads 4 exports 6 dependencies

Last updated from:b65a1a2b36. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK101
source / vignettesOK166
linux-release-x86_64OK118
wasm-releaseOK106

Exports:get_boundary_mtpiget_oc_hybridhybridhybrid_MTD_selection

Dependencies:latticeMASSMatrixpbapplyResourceSelectiontestit