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All functions

IRRguidelines
Guidelines for interpreting inter-rater reliability statistics.
IRRsim-package
Simulate Inter-Rater Reliability Statistics
IRRsim_demo()
Run the Inter-Rater Reliability shiny application.
LRsim_demo()
Run the logistic regression shiny app.
agreement()
Calculate percent agreement.
as.data.frame(<IRRsim>)
Convert IRR simulation run to a data frame.
asap2
Automated Student Assessment Prize Dataset 2
kappam.fleiss2()
Fleiss' Kappa for m raters
plot(<IRRsim>)
Plot the results of an IRR simulation.
plot(<lrdf>)
Logistic Regression Plot
print(<IRRsim>)
Prints the results from `simulateIRR.`
print(<IRRsimSummary>)
Print the result of summary.IRRsim
simulateIRR()
Calculates intraclass correlations (ICC) for simulated samples of raters and evaluations.
simulatePredictionData()
Simulate data to test logistic regression.
simulatePredictionModels()
Simulation for estimating logistic regression with uncertain responses.
simulateRatingMatrix()
Simulate a rating matrix.
simulateRatingMatrix2()
Simulate a rating matrix with two ratings per event.
summary(<IRRsim>)
Returns a summary of a IRR simulation.