Package: door 0.0.3
door: Analysis of Clinical Trials with the Desirability of Outcome Ranking Methodology
Statistical methods and related graphical representations for the Desirability of Outcome Ranking (DOOR) methodology. The DOOR is a paradigm for the design, analysis, interpretation of clinical trials and other research studies based on the patient centric benefit risk evaluation. The package provides functions for generating summary statistics from individual level/summary level datasets, conduct DOOR probability-based inference, and visualization of the results. For more details of DOOR methodology, see Hamasaki and Evans (2025) <doi:10.1201/9781003390855>. For more explanation of the statistical methods and the graphics, see the technical document and user manual of the DOOR 'Shiny' apps at <https://methods.bsc.gwu.edu>.
Authors:
door_0.0.3.tar.gz
door_0.0.3.zip(r-4.7)door_0.0.3.zip(r-4.6)door_0.0.3.zip(r-4.5)
door_0.0.3.tgz(r-4.6-any)door_0.0.3.tgz(r-4.5-any)
door_0.0.3.tar.gz(r-4.7-any)door_0.0.3.tar.gz(r-4.6-any)
door_0.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
door/json (API)
| # Install 'door' in R: |
| install.packages('door', repos = c('https://yijiehe.r-universe.dev', 'https://cloud.r-project.org')) |
- mock_raw_data - Mock Raw Data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:2b7175b663. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 168 | ||
| source / vignettes | OK | 161 | ||
| linux-release-x86_64 | OK | 172 | ||
| macos-release-arm64 | OK | 163 | ||
| macos-oldrel-arm64 | OK | 186 | ||
| windows-devel | OK | 88 | ||
| windows-release | OK | 101 | ||
| windows-oldrel | OK | 97 | ||
| wasm-release | OK | 102 |
Exports:calc_doorprobdoor_barplotdoor_cidoor_component_barplotdoor_component_forestplotdoor_cumulative_forestplotdoor_summarydoor_testhalperin_ciinv_tanh_cipartial_credit_analysispartial_credit_biplotpartial_credit_contour_plotpseudo_score_ci
Dependencies:abindbackportscheckmateclicpp11dplyrfarverforestplotgenericsggplot2gluegtableisobandlabelinglifecyclemagrittrpillarpkgconfigpurrrR6RColorBrewerrlangS7scalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Calculate DOOR probability | calc_doorprob |
| Create DOOR summary barplot | door_barplot |
| Calculate confidence intervals for DOOR probability | door_ci |
| Create DOOR component barplot | door_component_barplot |
| Create DOOR component forest plot | door_component_forestplot |
| Generate cumulative DOOR forest plot | door_cumulative_forestplot |
| Summarize individual level data into summary level data | door_summary |
| Hypothesis testing for the DOOR probability | door_test |
| Calculate confidence interval of DOOR probability based on Halperin et al. (1989)'s method | halperin_ci |
| Calculate confidence interval of DOOR probability based on inverse hyperbolic tangent transformation of Wald-type CI | inv_tanh_ci |
| Mock Raw Data | mock_raw_data |
| Partial credit analysis for DOOR | partial_credit_analysis |
| Partial credit plot | partial_credit_biplot |
| Generate contour plot for partial credit analysis | partial_credit_contour_plot |
| Calculate pseudo score type confidence interval of DOOR probability | pseudo_score_ci |
| Variance of DOOR probability | var_pi |
