R: Monte Carlo Simulation-Based Sample-Size Planning for Item Response Theory

# Monte Carlo Simulation-Based Sample-Size Planning for Item Response Theory

## Documentation for package ‘irtsim’ version 0.2.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

irt_design | Create an IRT Design Specification
irt_iterations | Compute Required Monte Carlo Replications
irt_params_1pl | Generate 1PL Item Parameters
irt_params_2pl | Generate 2PL Item Parameters
irt_params_3pl | Generate 3PL Item Parameters
irt_params_gpcm | Generate GPCM Item Parameters
irt_params_grm | Generate GRM Item Parameters
irt_params_pcm | Generate PCM Item Parameters
irt_simulate | Run an IRT Monte Carlo Simulation
irt_study | Define Study Conditions for an IRT Simulation
plot.irt_results | Plot IRT Simulation Results
plot.summary_irt_results | Plot Summary of IRT Simulation Results
print.irt_design | Print an IRT Design
print.irt_results | Print an IRT Simulation Result
print.irt_study | Print an IRT Study
print.summary_irt_results | Print Summary of IRT Simulation Results
recommended_n | Find the Minimum Sample Size Meeting a Criterion Threshold
recommended_n.summary_irt_results | Find the Minimum Sample Size Meeting a Criterion Threshold
summary.irt_results | Summarize IRT Simulation Results