Package: nphRCT 0.1.1

Dominic Magirr

nphRCT:Non-Proportional Hazards in Randomized Controlled Trials

Perform a stratified weighted log-rank test in a randomized controlled trial. Tests can be visualized as a difference in average score on the two treatment arms. These methods are described in Magirr and Burman (2018) <doi:10.48550/arXiv.1807.11097>, Magirr (2020) <doi:10.48550/arXiv.2007.04767>, and Magirr and Jimenez (2022) <doi:10.48550/arXiv.2201.10445>.

Authors:Dominic Magirr [aut, cre], Isobel Barrott [aut], Jose Jimenez [ctb]

nphRCT_0.1.1.tar.gz
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nphRCT.pdf |nphRCT.html✨
nphRCT/json (API)
NEWS

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

Peer review:

Datasets:
  • moderate_cross - Time-to-event RCT data set with moderate crossing of survival curves.

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

5 exports 0.49 score 30 dependencies 1 dependents 202 downloads

Last updated 8 days agofrom:8766aac0c8

Exports:find_at_riskfind_scoresfind_weightssim_events_delaywlrt

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigpurrrR6RColorBrewerrlangscalessurvivaltibbleutf8vctrsviridisLitewithr

Survival tests as differences-of-means

Dominic Magirr

Rendered fromexplanation.Rmdusingknitr::rmarkdownon Jun 28 2024.

Last update: 2022-09-01
Started: 2022-09-01

The weighted log-rank test

Isobel Barrott

Rendered fromweighted_log_rank_tests.Rmdusingknitr::rmarkdownon Jun 28 2024.

Last update: 2022-09-01
Started: 2022-09-01