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:Xiaodong Luo [aut], Bo Huang [aut], Lu Tian [aut, cre]

PBIR_0.1-0.tar.gz
PBIR_0.1-0.tar.gz(r-4.5-noble)PBIR_0.1-0.tar.gz(r-4.4-noble)
PBIR_0.1-0.tgz(r-4.4-emscripten)PBIR_0.1-0.tgz(r-4.3-emscripten)
PBIR.pdf |PBIR.html✨
PBIR/json (API)

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

Peer review:

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

2.00 score 2 scripts 124 downloads 4 exports 4 dependencies

Last updated 4 years agofrom:f1a924f7b1. Checks:OK: 1 WARNING: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 14 2024
R-4.5-linuxWARNINGOct 14 2024

Exports:CRRmdurationPBIR1PBIR2

Dependencies:cmprsklatticeMatrixsurvival

Vignette for R package PBIR

Bo Huang, Xiaodong Luo, and Lu Tian

Rendered fromPBIRV.Rmdusingknitr::rmarkdownon Oct 14 2024.

Last update: 2020-09-17
Started: 2020-09-17