Unidimensional Item Response Theory Modeling

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Documentation for package ‘irtQ’ version 0.2.0

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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