Package: dfmta 1.7-8
dfmta: Phase I/II Adaptive Dose-Finding Design for MTA
Phase I/II adaptive dose-finding design for single-agent Molecularly Targeted Agent (MTA), according to the paper "Phase I/II Dose-Finding Design for Molecularly Targeted Agent: Plateau Determination using Adaptive Randomization", Riviere Marie-Karelle et al. (2016) <doi:10.1177/0962280216631763>.
Authors:
dfmta_1.7-8.tar.gz
dfmta_1.7-8.zip(r-4.7)dfmta_1.7-8.zip(r-4.6)dfmta_1.7-8.zip(r-4.5)
dfmta_1.7-8.tgz(r-4.6-x86_64)dfmta_1.7-8.tgz(r-4.6-arm64)dfmta_1.7-8.tgz(r-4.5-x86_64)dfmta_1.7-8.tgz(r-4.5-arm64)
dfmta_1.7-8.tar.gz(r-4.7-arm64)dfmta_1.7-8.tar.gz(r-4.7-x86_64)dfmta_1.7-8.tar.gz(r-4.6-arm64)dfmta_1.7-8.tar.gz(r-4.6-x86_64)
dfmta_1.7-8.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
dfmta/json (API)
| # Install 'dfmta' in R: |
| install.packages('dfmta', repos = c('https://jhjourdan.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:6a5ef0913f. Checks:11 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | NOTE | 125 | ||
| linux-devel-x86_64 | NOTE | 124 | ||
| source / vignettes | OK | 162 | ||
| linux-release-arm64 | NOTE | 125 | ||
| linux-release-x86_64 | NOTE | 126 | ||
| macos-release-arm64 | NOTE | 106 | ||
| macos-release-x86_64 | NOTE | 304 | ||
| macos-oldrel-arm64 | NOTE | 122 | ||
| macos-oldrel-x86_64 | NOTE | 331 | ||
| windows-devel | NOTE | 134 | ||
| windows-release | NOTE | 118 | ||
| windows-oldrel | NOTE | 120 | ||
| wasm-release | OK | 127 |
Exports:mtaBin_nextmtaBin_sim
Dependencies:BHRcppRcppArmadilloRcppProgress
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Phase I/II Adaptive Dose-Finding Design for MTA | dfmta-package dfmta |
| Optimal dose determination for MTA with binary outcomes | mtaBin_next print.mtaBin_next |
| Design Simulator for MTA with binary outcomes | mtaBin_sim print.mtaBin_sim |
