# Unidimensional Item Response Theory Modeling

## Documentation for package ‘irtQ’ version 1.2.0

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

irtQ-package | irtQ: Unidimensional Item Response Theory Modeling
bind.fill | Bind Fill
bisection | The Bisection Method to Find a Root
bring.bilog | Import Item and Ability Parameters from IRT Software
bring.flexmirt | Import Item and Ability Parameters from IRT Software
bring.mirt | Import Item and Ability Parameters from IRT Software
bring.parscale | Import Item and Ability Parameters from IRT Software
cac_lee | Classification Accuracy and Consistency Using Lee's (2010) Approach
cac_rud | Classification Accuracy and Consistency Based on Rudner's (2001, 2005) Approach
catsib | CATSIB DIF Detection Procedure
covirt | Asymptotic Variance-Covariance Matrices of Item Parameter Estimates
crdif | Residual-Based DIF Detection Framework Using Categorical Residuals (RDIF-CR)
crdif.default | Residual-Based DIF Detection Framework Using Categorical Residuals (RDIF-CR)
crdif.est_irt | Residual-Based DIF Detection Framework Using Categorical Residuals (RDIF-CR)
crdif.est_item | Residual-Based DIF Detection Framework Using Categorical Residuals (RDIF-CR)
drm | Dichotomous Response Model (DRM) Probabilities
est_irt | Item parameter estimation using MMLE-EM algorithm
est_item | Fixed ability parameter calibration
est_mg | Multiple-group item calibration using MMLE-EM algorithm
est_score | Estimate examinees' ability (proficiency) parameters
est_score.default | Estimate examinees' ability (proficiency) parameters
est_score.est_irt | Estimate examinees' ability (proficiency) parameters
find_cut | Find TIF-Crossing Cut Scores for MST Routing
gen.weight | Generate Weights
getirt | Extract Components from 'est_irt', 'est_mg', or 'est_item' Objects
getirt.est_irt | Extract Components from 'est_irt', 'est_mg', or 'est_item' Objects
getirt.est_item | Extract Components from 'est_irt', 'est_mg', or 'est_item' Objects
getirt.est_mg | Extract Components from 'est_irt', 'est_mg', or 'est_item' Objects
grdif | Generalized IRT residual-based DIF detection framework for multiple groups (GRDIF)
grdif.default | Generalized IRT residual-based DIF detection framework for multiple groups (GRDIF)
grdif.est_irt | Generalized IRT residual-based DIF detection framework for multiple groups (GRDIF)
grdif.est_item | Generalized IRT residual-based DIF detection framework for multiple groups (GRDIF)
info | Item and Test Information Function
info.default | Item and Test Information Function
info.est_irt | Item and Test Information Function
info.est_item | Item and Test Information Function
irtfit | Traditional IRT Item Fit Statistics
irtfit.default | Traditional IRT Item Fit Statistics
irtfit.est_irt | Traditional IRT Item Fit Statistics
irtfit.est_item | Traditional IRT Item Fit Statistics
irtQ | irtQ: Unidimensional Item Response Theory Modeling
llike_score | Log-Likelihood of Ability Parameters
LSAT6 | LSAT6 Data
lwrc | Lord-Wingersky Recursion Formula
panel_info | Extract Panel Structure from an MST Route Map
pcd2 | Pseudo-count D2 method
plot.find_cut | Plot TIF Curves and Cut Scores from a 'find_cut' Result
plot.info | Plot Item and Test Information Functions
plot.irtfit | Draw Raw and Standardized Residual Plots
plot.traceline | Plot Item and Test Characteristic Curves
prm | Polytomous Response Model (PRM) Probabilities (GRM and GPCM)
rdif | IRT Residual-Based Differential Item Functioning (RDIF) Detection Framework
rdif.default | IRT Residual-Based Differential Item Functioning (RDIF) Detection Framework
rdif.est_irt | IRT Residual-Based Differential Item Functioning (RDIF) Detection Framework
rdif.est_item | IRT Residual-Based Differential Item Functioning (RDIF) Detection Framework
reval_mst | Recursion-based MST evaluation method
ripd | Residual-based Item Parameter Drift (RIPD) Detection Framework
ripd.default | Residual-based Item Parameter Drift (RIPD) Detection Framework
ripd.est_irt | Residual-based Item Parameter Drift (RIPD) Detection Framework
ripd.est_item | Residual-based Item Parameter Drift (RIPD) Detection Framework
run_flexmirt | Run flexMIRT from Within R
run_mst | Multistage-Adaptive Test (MST) Simulation
shape_df | Create a Data Frame of Item Metadata
shape_df_fipc | Combine fixed and new item metadata for fixed-item parameter calibration (FIPC)
simCAT_DC | Simulated Single-Item Format CAT Data
simCAT_MX | Simulated Mixed-Item Format CAT Data
simdat | Simulated Response Data
simIPD | Simulated CAT Data for Item Parameter Drift (IPD) Detection
simMG | Simulated multiple-group data
simMST | Simulated 1-3-3 MST Panel Data
summary | Summary of Item Calibration Results
summary.est_irt | Summary of Item Calibration Results
summary.est_item | Summary of Item Calibration Results
summary.est_mg | Summary of Item Calibration Results
sx2_fit | S-X2 Fit Statistic
sx2_fit.default | S-X2 Fit Statistic
sx2_fit.est_irt | S-X2 Fit Statistic
sx2_fit.est_item | S-X2 Fit Statistic
traceline | Compute Item/Test Characteristic Functions
traceline.default | Compute Item/Test Characteristic Functions
traceline.est_irt | Compute Item/Test Characteristic Functions
traceline.est_item | Compute Item/Test Characteristic Functions
write.flexmirt | Write a "-prm.txt" File for flexMIRT