Package: winratiosim 1.0.0
winratiosim: Power Analysis Simulation for Sample Size Calculation Using the Win Ratio Endpoint
Implements simulation-based power analysis for determining sample size in clinical trials using the win ratio endpoint.
Authors:
winratiosim_1.0.0.tar.gz
winratiosim_1.0.0.zip(r-4.7)winratiosim_1.0.0.zip(r-4.6)winratiosim_1.0.0.zip(r-4.5)
winratiosim_1.0.0.tgz(r-4.6-any)winratiosim_1.0.0.tgz(r-4.5-any)
winratiosim_1.0.0.tar.gz(r-4.7-any)winratiosim_1.0.0.tar.gz(r-4.6-any)
winratiosim_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
winratiosim/json (API)
| # Install 'winratiosim' in R: |
| install.packages('winratiosim', repos = c('https://yain22.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/yain22/winratiosim/issues
Last updated from:666c0e0c39. Checks:7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | NOTE | 140 | ||
| source / vignettes | OK | 196 | ||
| linux-release-x86_64 | NOTE | 145 | ||
| macos-release-arm64 | NOTE | 119 | ||
| macos-oldrel-arm64 | NOTE | 169 | ||
| windows-devel | NOTE | 86 | ||
| windows-release | NOTE | 95 | ||
| windows-oldrel | NOTE | 96 | ||
| wasm-release | OK | 151 |
Exports:binom.conf.exactScoring_ContiScoring_TTESimData_per_groupwinratiosimWR_analysis
Dependencies:base64encbslibcachemclicodetoolscpp11digestdoSNOWdplyrevaluatefarverfastmapfontawesomeforeachfsgenericsgluehighrhtmltoolsiteratorsjquerylibjsonlitekableExtraknitrlabelinglifecyclemagrittrmemoisemimepbmcapplypillarpkgconfigplyrR6rappdirsRColorBrewerRcpprlangrmarkdownrstudioapisassscalessnowstringistringrsvglitesystemfontstextshapingtibbletidyselecttinytexutf8vctrsviridisLitewithrxfunxml2yaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Exact Binomial Confidence Interval Using Clopper-Pearson Method | binom.conf.exact |
| Score Continuous Outcomes for Win Ratio Comparison | Scoring_Conti |
| Score Time-to-Event Pairwise Comparisons for Win Ratio | Scoring_TTE |
| Simulate Individual-Level Trial Data for a Treatment Group | SimData_per_group |
| Simulate Hierarchical Win Ratio Trials | winratiosim |
| Perform Hierarchical Win Ratio and Functional Score Analysis | WR_analysis |
