StatsKappa: Cohen's Kappa In bfw: Bayesian Framework for Computational Modeling

 StatsKappa R Documentation

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

`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
```

bfw documentation built on March 18, 2022, 6:19 p.m.