R: Fit Bounded Continuous Item Response Theory Models to Data

# Fit Bounded Continuous Item Response Theory Models to Data

## Documentation for package ‘BoundIRT’ version 0.5.0

- DESCRIPTION file

## Help Pages

BoundIRT-package | The 'BoundIRT' package.
Abasement | Abasement data
BoundIRT | The 'BoundIRT' package.
boundIRT | The 'BoundIRT' package.
bridgeBIRT | Estimate fully marginalized log-likelihood using bridge sampling.
coef.BoundIRT | Obtain item parameter estimates
female | Abasement data
fitBIRT | Fit various IRT models for bounded continuous items to data
latregBIRT | Latent regression of the latent variable from a bounded IRT model on observed predictor variables
loglikBIRT | Calculate the log-likelihood values of each person for each posterior parameter sample
out_beta | Estimation results of a Zero Inflated Beta IRT model fit to the Abasement data
plot.BoundIRT | Plotting function for 'BoundIRT'-objects.
rBIRT | Simulate data according to various IRT models for bounded continuous items
repBIRT | Simulate replicated datasets using the posterior parameter samples from a BoundIRT-object