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PBIR  

Estimating the Probability of Being in Response and Related Outcomes
View on CRAN: Click here


Download and install PBIR package within the R console
Install from CRAN:
install.packages("PBIR")

Install from Github:
library("remotes")
install_github("cran/PBIR")

Install by package version:
library("remotes")
install_version("PBIR", "0.1-0")



Attach the package and use:
library("PBIR")
Maintained by
Lu Tian
[Scholar Profile | Author Map]
First Published: 2020-09-17
Latest Update: 2020-09-17
Description:
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.
How to cite:
Lu Tian (2020). PBIR: Estimating the Probability of Being in Response and Related Outcomes. R package version 0.1-0, https://cran.r-project.org/web/packages/PBIR. Accessed 07 Apr. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited PBIR R package
View PBIR citation profile
Other R packages that PBIR depends, imports, suggests or enhances
Complete documentation for PBIR
Functions, R codes and Examples using the PBIR R package
Some associated functions: CRR . PBIR1 . PBIR2 . mduration . 
Some associated R codes: CRR.R . PBIR1.R . PBIR2.R . mduration.R .  Full PBIR package functions and examples
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