Package: PWEALL 1.3.0.1
PWEALL: Design and Monitoring of Survival Trials Accounting for Complex Situations
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.
Authors:
PWEALL_1.3.0.1.tar.gz
PWEALL_1.3.0.1.tar.gz(r-4.5-noble)PWEALL_1.3.0.1.tar.gz(r-4.4-noble)
PWEALL_1.3.0.1.tgz(r-4.4-emscripten)PWEALL_1.3.0.1.tgz(r-4.3-emscripten)
PWEALL.pdf |PWEALL.html✨
PWEALL/json (API)
# Install 'PWEALL' in R: |
install.packages('PWEALL', 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 1 years agofrom:d4c6df009f. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 04 2024 |
R-4.5-linux-x86_64 | OK | Dec 04 2024 |
Exports:cpcpboundarycpstopfourhrhxbetainnercovinnervarinstudyfindtovbetaoverallcovoverallcovp1overallcovp2overallvarpwepwecxpwecxcenspwecxpwupwecxpwufindtpwecxpwuforvarpwefv2pwefvpluspwepowerpwepowereqpwepowerfindtpwepowernipwesimpwuqpweqpwurmstcovrmsthrmstpowerrmstpowerfindtrmstsimrmstutilrpwerpwecxrpwuspfwlrcalwlrcomwlrutil