Package: ordinalRR 1.1
ordinalRR: Analysis of Repeatability and Reproducibility Studies with Ordinal Measurements
Implements Bayesian data analyses of balanced repeatability and reproducibility studies with ordinal measurements. Model fitting is based on MCMC posterior sampling with 'rjags'. Function ordinalRR() directly carries out the model fitting, and this function has the flexibility to allow the user to specify key aspects of the model, e.g., fixed versus random effects. Functions for preprocessing data and for the numerical and graphical display of a fitted model are also provided. There are also functions for displaying the model at fixed (user-specified) parameters and for simulating a hypothetical data set at a fixed (user-specified) set of parameters for a random-effects rater population. For additional technical details, refer to Culp, Ryan, Chen, and Hamada (2018) and cite this Technometrics paper when referencing any aspect of this work. The demo of this package reproduces results from the Technometrics paper.
Authors:
ordinalRR_1.1.tar.gz
ordinalRR_1.1.zip(r-4.5)ordinalRR_1.1.zip(r-4.4)ordinalRR_1.1.zip(r-4.3)
ordinalRR_1.1.tgz(r-4.4-any)ordinalRR_1.1.tgz(r-4.3-any)
ordinalRR_1.1.tar.gz(r-4.5-noble)ordinalRR_1.1.tar.gz(r-4.4-noble)
ordinalRR_1.1.tgz(r-4.4-emscripten)ordinalRR_1.1.tgz(r-4.3-emscripten)
ordinalRR.pdf |ordinalRR.html✨
ordinalRR/json (API)
| # Install 'ordinalRR' in R: |
| install.packages('ordinalRR', repos = c('https://kjryan13.r-universe.dev', 'https://cloud.r-project.org')) |
- followup - Followup data from experiment on soldered joints.
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 years agofrom:b09380b4f9. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 16 2024 |
| R-4.5-win | OK | Nov 16 2024 |
| R-4.5-linux | OK | Nov 16 2024 |
| R-4.4-win | OK | Nov 16 2024 |
| R-4.4-mac | OK | Nov 16 2024 |
| R-4.3-win | OK | Nov 16 2024 |
| R-4.3-mac | OK | Nov 16 2024 |
Exports:compute.qmake.raterordinalRRordinalRR.controlordinalRR.simpreprocess
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Compute the probabilities for a single rater at a fixed part quality. | compute.q |
| Plot densities of the latent part distributions. | density.ordinalRR |
| Followup data from experiment on soldered joints. | followup |
| Histogram for the latent part distributions from a Bayesian ordinal R&R analysis. | hist.ordinalRR |
| Format the parameters for a single rater. | make.rater |
| Fit a Bayesian ordinal R&R model using JAGS. | ordinalRR |
| Set control parameters for a Bayesian ordinal R&R model. | ordinalRR.control |
| Simulate an ordinal R&R data set. | ordinalRR.sim |
| Format an ordinal R&R data frame into object required by function ordinalRR. | preprocess |
| Print function for an object of class ordinalRR. | print.ordinalRR |
| Summarize an object of class ordinalRR. | summary.ordinalRR |
