Learn R Programming

rater (version 1.3.2)

class_probabilities: Extract latent class probabilities from a rater fit object

Description

Extract latent class probabilities from a rater fit object

Usage

class_probabilities(fit, ...)

# S3 method for mcmc_fit class_probabilities(fit, ...)

# S3 method for optim_fit class_probabilities(fit, ...)

Value

A I * K matrix where each element is the probably of item i being of class k. (I is the number of items and K the number of classes).

Arguments

fit

A rater fit object.

...

Extra arguments.

Details

The latent class probabilities are obtained by marginalising out the latent class and then calculating, for each draw of pi and theta, the conditional probability of the latent class given the other parameters and the data. Averaging these conditional probabilities gives the (unconditional) latent class probabilities retuned by this function.

Examples

Run this code
# \donttest{

fit <- rater(anesthesia, "dawid_skene")
class_probabilities(fit)

# }

Run the code above in your browser using DataLab