R: Unidimensional Item Response Theory Modeling

# Unidimensional Item Response Theory Modeling

## Documentation for package ‘irtQ’ version 0.2.0

- DESCRIPTION file.

## 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 using Rudner's (2001, 2005) approach.
catsib | CATSIB DIF detection procedure
covirt | Asymptotic variance-covariance matrices of item parameter estimates
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
gen.weight | Generate Weights
getirt | Extract various elements from 'est_irt', 'est_mg', and 'est_item' objects
getirt.est_irt | Extract various elements from 'est_irt', 'est_mg', and 'est_item' objects
getirt.est_item | Extract various elements from 'est_irt', 'est_mg', and 'est_item' objects
getirt.est_mg | Extract various elements from 'est_irt', 'est_mg', and '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
llike_score | Loglikelihood of Ability Parameters
LSAT6 | LSAT6 data
lwrc | Lord-Wingersky Recursion Formula
plot.info | Plot Item and Test Information Functions
plot.irtfit | Draw raw and standardized residual plots
plot.traceline | Plot ICC and TCC
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
run_flexmirt | Run flexMIRT through R
shape_df | Create a data frame of item metadata
simCAT_DC | Simulated single-item format CAT Data
simCAT_MX | Simulated mixed-item format CAT Data
simdat | Simulated Response Data
simMG | Simulated multiple-group data
summary | Summary of item calibration
summary.est_irt | Summary of item calibration
summary.est_item | Summary of item calibration
summary.est_mg | Summary of item calibration
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