StatsKappa | R Documentation |
Bayesian alternative to Cohen's kappa
StatsKappa( x = NULL, x.names = NULL, DF, params = NULL, initial.list = list(), ... )
x |
predictor variable(s), Default: NULL |
x.names |
optional names for predictor variable(s), Default: NULL |
DF |
data to analyze |
params |
define parameters to observe, Default: NULL |
initial.list |
initial values for analysis, Default: list() |
... |
further arguments passed to or from other methods |
complete.cases
## Simulate rater data #Rater1 <- c(rep(0,20),rep(1,80)) #set.seed(100) #Rater2 <- c(rbinom(20,1,0.1), rbinom(80,1,0.9)) #data <- data.frame(Rater1,Rater2) #mcmc <- bfw(project.data = data, # x = "Rater1,Rater2", # saved.steps = 50000, # jags.model = "kappa", # jags.seed = 100, # silent = TRUE) ## Print frequentist and Bayesian kappa #library(psych) #psych::cohen.kappa(data)$confid[1,] ## lower estimate upper ## 0.6137906 0.7593583 0.9049260 ##' mcmc$summary.MCMC ## Mean Median Mode ESS HDIlo HDIhi n ## Kappa[1]: 0.739176 0.7472905 0.7634503 50657 0.578132 0.886647 100
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