Introduction | Estimating PBIR over a given time window | Two Group Comparisons | Inferences on the Mean Duration of Response | Inferences on Cumulative Response Rate (CRR) | REFERENCE
Package: PBIR 0.1-0
Lu Tian
PBIR: Estimating the Probability of Being in Response and Related Outcomes
Make statistical inference on the probability of being in response, the duration of response, and the cumulative response rate up to a given time point. The method can be applied to analyze phase II randomized clinical trials with the endpoints being time to treatment response and time to progression or death.
Authors:
PBIR_0.1-0.tar.gz
PBIR_0.1-0.tar.gz(r-4.7-any)PBIR_0.1-0.tar.gz(r-4.6-any)
PBIR_0.1-0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
PBIR/json (API)
| # Install 'PBIR' in R: |
| install.packages('PBIR', 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 from:f1a924f7b1. Checks:2 WARNING, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | WARNING | 129 | ||
| source / vignettes | OK | 183 | ||
| linux-release-x86_64 | WARNING | 176 | ||
| wasm-release | OK | 104 |
