get_ability_parameter_estimates: Feed forward response sets through the encoder, which outputs...

In ML2Pvae: Variational Autoencoder Models for IRT Parameter Estimation

Feed forward response sets through the encoder, which outputs student ability estimates

Description

Feed forward response sets through the encoder, which outputs student ability estimates

Usage

get_ability_parameter_estimates(encoder, responses)

Arguments

encoder	a trained keras model; should be the encoder returned from either build_vae_independent() or build_vae_correlated
responses	a num_students by num_items matrix of binary responses, as used in training

Value

a list where the first entry contains student ability estimates and the second entry holds the variance (or covariance matrix) of those estimates

Examples

data <- matrix(c(1,1,0,0,1,0,1,1,0,1,1,0), nrow = 3, ncol = 4)
Q <- matrix(c(1,0,1,1,0,1,1,0), nrow = 2, ncol = 4)
models <- build_vae_independent(4, 2, Q, model_type = 2)
encoder <- models[[1]]
ability_parameter_estimates_variances <- get_ability_parameter_estimates(encoder, data)
student_ability_est <- ability_parameter_estimates_variances[[1]]

ML2Pvae documentation built on May 23, 2022, 9:05 a.m.