Overview | Step 1: check the proportional odds assumption | Step 2: build a design | Step 3: operating characteristics | Step 4: comparing criteria | Degenerate optima | Choosing between asymptotic and exact approaches | The effect size behind a design | A note on the name rule() | Moving from the earlier interface
Package: OptOTrials 1.1.0
Yeonhee Park
OptOTrials: Optimal Two-Stage Designs for Ordered Categorical Outcomes
Functions to design and simulate optimal two-stage randomized controlled trials (RCTs) with ordered categorical outcomes, using rank-based tests and interim decision rules for futility and superiority, following Park (2025) <doi:10.1371/journal.pone.0318211>. The functions 'rule()', 'op()' and 'design_table()' provide a single entry point for constructing designs, evaluating their operating characteristics, and tabulating several designs at once. The separate functions provided for each combination of test statistic and stopping rule up to version 1.0.2 were deprecated in 1.0.3 and are removed here. Please see the package reference manual and the vignette for details.
Authors:
OptOTrials_1.1.0.tar.gz
OptOTrials_1.1.0.zip(r-4.7-any)OptOTrials_1.1.0.zip(r-4.6-any)
OptOTrials_1.1.0.tar.gz(r-4.7-any)OptOTrials_1.1.0.tar.gz(r-4.6-any)
OptOTrials_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
OptOTrials/json (API)
| # Install 'OptOTrials' in R: |
| install.packages('OptOTrials', 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 from:c4d69c91aa. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 332 | ||
| source / vignettes | OK | 213 | ||
| linux-release | OK | 306 | ||
| windows-devel | OK | 284 | ||
| windows-release | OK | 253 | ||
| wasm-release | OK | 101 |
Exports:design_tableopp2_funProportional_odds_assumptionQR_funrulethetaV_S.over.nkW_W
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Optimal Two-Stage Designs for Ordered Categorical Outcomes | OptOTrials-package OptOTrials |
| Table of designs and operating characteristics | design_table |
| Operating characteristics of a design | op print.OptOTrialsOC |
| Experimental-group probabilities from a specified odds ratio | p2_fun |
| Checking proportional odds assumption | Proportional_odds_assumption |
| Variance component of the Mann-Whitney-Wilcoxon statistic | QR_fun |
| Optimal design for a trial with an ordered categorical outcome | print.OptOTrialsRule rule |
| Win probability for two ordered categorical distributions | theta |
| Variance factor of the score statistic | V_S.over.nk |
| Variance factor of the win odds statistic | W_W |