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ordinalRR  

Analysis of Repeatability and Reproducibility Studies with Ordinal Measurements
View on CRAN: Click here


Download and install ordinalRR package within the R console
Install from CRAN:
install.packages("ordinalRR")

Install from Github:
library("remotes")
install_github("cran/ordinalRR")

Install by package version:
library("remotes")
install_version("ordinalRR", "1.1")



Attach the package and use:
library("ordinalRR")
Maintained by
Ken Ryan
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-03-14
Latest Update: 2020-03-30
Description:
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.
How to cite:
Ken Ryan (2018). ordinalRR: Analysis of Repeatability and Reproducibility Studies with Ordinal Measurements. R package version 1.1, https://cran.r-project.org/web/packages/ordinalRR
Previous versions and publish date:
1.0 (2018-03-14 11:04)
Other packages that cited ordinalRR R package
View ordinalRR citation profile
Other R packages that ordinalRR depends, imports, suggests or enhances
Functions, R codes and Examples using the ordinalRR R package
Some associated functions: compute.q . density.ordinalRR . followup . hist.ordinalRR . make.rater . ordinalRR.control . ordinalRR . ordinalRR.sim . preprocess . print.ordinalRR . summary.ordinalRR . 
Some associated R codes: ordinalRR.R .  Full ordinalRR package functions and examples
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