StatsKappa: Cohen's Kappa

In oeysan/bfw: Bayesian Framework for Computational Modeling

Cohen's Kappa

Description

Bayesian alternative to Cohen's kappa

Usage

StatsKappa(
  x = NULL,
  x.names = NULL,
  DF,
  params = NULL,
  initial.list = list(),
  ...
)

Arguments

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

See Also

complete.cases

Examples

## 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

oeysan/bfw documentation built on March 27, 2022, 7:41 p.m.