All functions

IRRguidelines

Guidelines for interpreting inter-rater reliability statistics.

IRRsim-package

Simulate Inter-Rater Reliability Statistics

IRRsimData

Simulated data used to create tables of expected IRR metrics

IRRsim_demo()

Run the Inter-Rater Reliability shiny app.

LRsim_demo()

Run the logistic regression shiny app.

agreement()

Calculate percent agreement.

as.data.frame(<IRRsim>)

Converts the results of simulateIRR 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.