All functions

IRRguidelines

Guidelines for interpreting interrater reliability statistics. 
IRRsimpackage

Simulate InterRater Reliability Statistics 
IRRsimData

Simulated data used to create tables of expected IRR metrics 
IRRsim_demo()

Run the InterRater 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. 