Package: dfmta 1.7-6
Jacques-Henri Jourdan
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_1.7-6.tar.gz
dfmta_1.7-6.tar.gz(r-4.5-noble)dfmta_1.7-6.tar.gz(r-4.4-noble)
dfmta_1.7-6.tgz(r-4.4-emscripten)dfmta_1.7-6.tgz(r-4.3-emscripten)
dfmta.pdf |dfmta.html✨
dfmta/json (API)
| # Install 'dfmta' in R: |
| install.packages('dfmta', repos = c('https://cran.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 25 days agofrom:9ff6c46819. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 01 2024 |
| R-4.5-linux-x86_64 | OK | Oct 01 2024 |
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 |
