Package: ROlogit 0.1.2
ROlogit: Fit Rank-Ordered Logit (RO-Logit) Model
Implements the rank-ordered logit (RO-logit) model for stratified analysis of continuous outcomes introduced by Tan et al. (2017) <doi:10.1177/0962280217747309>. Model diagnostics based on the heuristic residuals and estimates in linear scales are available from the package, and outcomes with ties are supported.
Authors:
ROlogit_0.1.2.tar.gz
ROlogit_0.1.2.zip(r-4.5)ROlogit_0.1.2.zip(r-4.4)ROlogit_0.1.2.zip(r-4.3)
ROlogit_0.1.2.tgz(r-4.4-any)ROlogit_0.1.2.tgz(r-4.3-any)
ROlogit_0.1.2.tar.gz(r-4.5-noble)ROlogit_0.1.2.tar.gz(r-4.4-noble)
ROlogit_0.1.2.tgz(r-4.4-emscripten)ROlogit_0.1.2.tgz(r-4.3-emscripten)
ROlogit.pdf |ROlogit.html✨
ROlogit/json (API)
| # Install 'ROlogit' in R: |
| install.packages('ROlogit', repos = c('https://nyilin.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/nyilin/rologit/issues
- inpat_bg - Inpatient blood glucose data for 2487 patients
Last updated 3 years agofrom:b3411b9186. Checks:OK: 5 NOTE: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 12 2024 |
| R-4.5-win | NOTE | Sep 12 2024 |
| R-4.5-linux | NOTE | Sep 12 2024 |
| R-4.4-win | OK | Sep 12 2024 |
| R-4.4-mac | OK | Sep 12 2024 |
| R-4.3-win | OK | Sep 12 2024 |
| R-4.3-mac | OK | Sep 12 2024 |
Exports:qqplot.EVT1rologit
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Obtain the heuristic residuals. | hresid |
| Inpatient blood glucose data for 2487 patients | inpat_bg |
| The negative log likelihood function for obtaining heuristic residuals | loglikhresid |
| Make Q-Q plot for residual diagnostics. | qqplot.EVT1 |
| Fit RO-logit model and obtain heuristic residuals | rologit |
| Fit RO-logit model using Cox-PH | rologit.coxph |
| Summarise RO-Logit Model | summary.rologit |
