nphPower: Sample Size Calculation under Non-Proportional Hazards

Performs combination tests and sample size calculation for fixed design with survival endpoints using combination tests under either proportional hazards or non-proportional hazards. The combination tests include maximum weighted log-rank test and projection test. The sample size calculation procedure is very flexible, allowing for user-defined hazard ratio function and considering various trial conditions like staggered entry, drop-out etc. Trial simulation function is also provided to facilitate the empirical power calculation. The references for projection test and maximum weighted logrank test include Brendel et al. (2014) <doi:10.1111/sjos.12059> and Cheng and He (2021) <arXiv:2110.03833>. The references for sample size calculation under proportional hazard include Schoenfeld (1981) <doi:10.1093/biomet/68.1.316> and Freedman (1982) <doi:10.1002/sim.4780010204>. The references for calculation under non-proportional hazards include Lakatos (1988) <doi:10.2307/2531910> and Cheng and He (2021) (under review).

Version: 1.0.0
Depends: R (≥ 2.10)
Imports: survival, stats, mvtnorm, MASS, zoo
Suggests: rmarkdown, knitr
Published: 2021-12-01
Author: Huan Cheng ORCID iD [aut, cre]
Maintainer: Huan Cheng <hcheng1118 at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README NEWS
CRAN checks: nphPower results


Reference manual: nphPower.pdf


Package source: nphPower_1.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): nphPower_1.0.0.tgz, r-oldrel (arm64): nphPower_1.0.0.tgz, r-release (x86_64): nphPower_1.0.0.tgz


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