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PWEALL  

Design and Monitoring of Survival Trials Accounting for Complex Situations
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("PWEALL", "1.3.0.1")



Attach the package and use:
library("PWEALL")
Maintained by
Xiaodong Luo
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-12-23
Latest Update: 2023-08-09
Description:
Calculates various functions needed for design and monitoring survival trials accounting for complex situations such as delayed treatment effect, treatment crossover, non-uniform accrual, and different censoring distributions between groups. The event time distribution is assumed to be piecewise exponential (PWE) distribution and the entry time is assumed to be piecewise uniform distribution. As compared with Version 1.2.1, two more types of hybrid crossover are added. A bug is corrected in the function "pwecx" that calculates the crossover-adjusted survival, distribution, density, hazard and cumulative hazard functions. Also, to generate the crossover-adjusted event time random variable, a more efficient algorithm is used and the output includes crossover indicators.
How to cite:
Xiaodong Luo (2016). PWEALL: Design and Monitoring of Survival Trials Accounting for Complex Situations. R package version 1.3.0.1, https://cran.r-project.org/web/packages/PWEALL. Accessed 26 Aug. 2026.
Previous versions and publish date:
(2026-07-09 08:16), 1.0.0 (2016-12-23 00:23), 1.1.0 (2017-03-04 17:12), 1.2.0 (2017-10-01 21:25), 1.2.1 (2018-03-27 05:05), 1.3.0 (2018-10-18 13:30)
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Complete documentation for PWEALL
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