# Supplementary Item Response Theory Models

## Documentation for package ‘sirt’ version 1.13-1

- DESCRIPTION file.
- Package NEWS.

## Help Pages

A B C D E F G H I L M N P Q R S T U V W X Y

sirt-package | Supplementary Item Response Theory Models

## -- A --

amh | Bayesian Model Estimation with Adaptive Metropolis Hastings Sampling ('amh') or Penalized Maximum Likelihood Estimation ('pmle')
anova.gom | Discrete (Rasch) Grade of Membership Model
anova.prob.guttman | Probabilistic Guttman Model
anova.rasch.copula2 | Multidimensional IRT Copula Model
anova.rasch.copula3 | Multidimensional IRT Copula Model
anova.rasch.mirtlc | Multidimensional Latent Class 1PL and 2PL Model
anova.rasch.mml | Estimation of the Generalized Logistic Item Response Model, Ramsay's Quotient Model, Nonparametric Item Response Model, Pseudo-Likelihood Estimation and a Missing Data Item Response Model
anova.rm.facets | Rater Facets Models with Item/Rater Intercepts and Slopes
anova.rm.sdt | Hierachical Rater Model Based on Signal Detection Theory (HRM-SDT)
anova.smirt | Multidimensional Noncompensatory, Compensatory and Partially Compensatory Item Response Model
anova.xxirt | User Defined Item Response Model
automatic.recode | Automatic Method of Finding Keys in a Dataset with Raw Item Responses

## -- B --

bounds_parameters | Utility Functions in 'sirt'
brm.irf | Functions for the Beta Item Response Model
brm.sim | Functions for the Beta Item Response Model
btm | Extended Bradley-Terry Model

## -- C --

CallSwitch | Switching between Calls of R Function and 'Rcpp' Function
categorize | Categorize and Decategorize Variables in a Data Frame
ccov.np | Nonparametric Estimation of Conditional Covariances of Item Pairs
class.accuracy.rasch | Classification Accuracy in the Rasch Model
coef.amh | Bayesian Model Estimation with Adaptive Metropolis Hastings Sampling ('amh') or Penalized Maximum Likelihood Estimation ('pmle')
coef.mlnormal | (Restricted) Maximum Likelihood Estimation with Prior Distributions and Penalty Functions under Multivariate Normality
coef.pmle | Bayesian Model Estimation with Adaptive Metropolis Hastings Sampling ('amh') or Penalized Maximum Likelihood Estimation ('pmle')
coef.rasch.evm.pcm | Estimation of the Partial Credit Model using the Eigenvector Method
coef.xxirt | User Defined Item Response Model
colCumsums.sirt | Some Matrix Functions
conf.detect | Confirmatory DETECT and polyDETECT Analysis
confint.amh | Bayesian Model Estimation with Adaptive Metropolis Hastings Sampling ('amh') or Penalized Maximum Likelihood Estimation ('pmle')
confint.mlnormal | (Restricted) Maximum Likelihood Estimation with Prior Distributions and Penalty Functions under Multivariate Normality
confint.pmle | Bayesian Model Estimation with Adaptive Metropolis Hastings Sampling ('amh') or Penalized Maximum Likelihood Estimation ('pmle')
confint.xxirt | User Defined Item Response Model

## -- D --

data.activity.itempars | Item Parameters Cultural Activities
data.big5 | Dataset Big 5 from 'qgraph' Package
data.big5.qgraph | Dataset Big 5 from 'qgraph' Package
data.bs | Datasets from Borg and Staufenbiel (2007)
data.bs07a | Datasets from Borg and Staufenbiel (2007)
data.eid | Examples with Datasets from Eid and Schmidt (2014)
data.ess2005 | Dataset European Social Survey 2005
data.g308 | C-Test Datasets
data.inv4gr | Dataset for Invariance Testing with 4 Groups
data.liking.science | Dataset 'Liking For Science'
data.long | Longitudinal Dataset
data.lsem01 | Datasets for Local Structural Equation Models / Moderated Factor Analysis
data.math | Dataset Mathematics
data.mcdonald.act15 | Some Datasets from McDonald's _Test Theory_ Book
data.mcdonald.LSAT6 | Some Datasets from McDonald's _Test Theory_ Book
data.mcdonald.rape | Some Datasets from McDonald's _Test Theory_ Book
data.mixed1 | Dataset with Mixed Dichotomous and Polytomous Item Responses
data.ml | Multilevel Datasets
data.ml1 | Multilevel Datasets
data.ml2 | Multilevel Datasets
data.noharm18 | Datasets for NOHARM Analysis
data.noharmExC | Datasets for NOHARM Analysis
data.pars1.2pl | Item Parameters for Three Studies Obtained by 1PL and 2PL Estimation
data.pars1.rasch | Item Parameters for Three Studies Obtained by 1PL and 2PL Estimation
data.pirlsmissing | Dataset from PIRLS Study with Missing Responses
data.pisaMath | Dataset PISA Mathematics
data.pisaPars | Item Parameters from Two PISA Studies
data.pisaRead | Dataset PISA Reading
data.pw01 | Datasets for Pairwise Comparisons
data.ratings | Rating Datasets
data.ratings1 | Rating Datasets
data.ratings2 | Rating Datasets
data.ratings3 | Rating Datasets
data.raw1 | Dataset with Raw Item Responses
data.read | Dataset Reading
data.reck | Datasets from Reckase' Book _Multidimensional Item Response Theory_
data.reck21 | Datasets from Reckase' Book _Multidimensional Item Response Theory_
data.reck61DAT1 | Datasets from Reckase' Book _Multidimensional Item Response Theory_
data.reck61DAT2 | Datasets from Reckase' Book _Multidimensional Item Response Theory_
data.reck73C1a | Datasets from Reckase' Book _Multidimensional Item Response Theory_
data.reck73C1b | Datasets from Reckase' Book _Multidimensional Item Response Theory_
data.reck75C2 | Datasets from Reckase' Book _Multidimensional Item Response Theory_
data.reck78ExA | Datasets from Reckase' Book _Multidimensional Item Response Theory_
data.reck79ExB | Datasets from Reckase' Book _Multidimensional Item Response Theory_
data.si01 | Some Example Datasets for the 'sirt' Package
data.si02 | Some Example Datasets for the 'sirt' Package
data.si03 | Some Example Datasets for the 'sirt' Package
data.si04 | Some Example Datasets for the 'sirt' Package
data.si05 | Some Example Datasets for the 'sirt' Package
data.si06 | Some Example Datasets for the 'sirt' Package
data.sirt | Some Example Datasets for the 'sirt' Package
data.timss | Dataset TIMSS Mathematics
data.timss07.G8.RUS | TIMSS 2007 Grade 8 Mathematics and Science Russia
data.wide2long | Converting a Data Frame from Wide Format in a Long Format
decategorize | Categorize and Decategorize Variables in a Data Frame
detect.index | Calculation of the DETECT and polyDETECT Index
dif.logistic.regression | Differential Item Functioning using Logistic Regression Analysis
dif.strata.variance | Stratified DIF Variance
dif.variance | DIF Variance
dimproper | Utility Functions in 'sirt'
dinvgamma2 | Inverse Gamma Distribution in Prior Sample Size Parameterization
dirichlet.mle | Maximum Likelihood Estimation of the Dirichlet Distribution
dirichlet.simul | Simulation of a Dirichlet Distributed Vectors

## -- E --

eigenvalues.manymatrices | Computation of Eigenvalues of Many Symmetric Matrices
eigenvalues.sirt | First Eigenvalues of a Symmetric Matrix
equating.rasch | Equating in the Generalized Logistic Rasch Model
equating.rasch.jackknife | Jackknife Equating Error in Generalized Logistic Rasch Model
expl.detect | Exploratory DETECT Analysis

## -- F --

f1d.irt | Functional Unidimensional Item Response Model
fit.adisop | Fitting the ISOP and ADISOP Model for Frequency Tables
fit.isop | Fitting the ISOP and ADISOP Model for Frequency Tables
fuzcluster | Clustering for Continuous Fuzzy Data
fuzdiscr | Estimation of a Discrete Distribution for Fuzzy Data (Data in Belief Function Framework)

## -- G --

genlogis.moments | Calculation of Probabilities and Moments for the Generalized Logistic Item Response Model
ginverse_sym | Utility Functions in 'sirt'
gom.em | Discrete (Rasch) Grade of Membership Model
gom.jml | Grade of Membership Model (Joint Maximum Likelihood Estimation)
greenyang.reliability | Reliability for Dichotomous Item Response Data Using the Method of Green and Yang (2009)

## -- H --

hard_thresholding | Utility Functions in 'sirt'

## -- I --

invariance.alignment | Alignment Procedure for Linking under Approximate Invariance
IRT.expectedCounts.xxirt | User Defined Item Response Model
IRT.factor.scores.rm.facets | Rater Facets Models with Item/Rater Intercepts and Slopes
IRT.factor.scores.rm.sdt | Hierachical Rater Model Based on Signal Detection Theory (HRM-SDT)
IRT.factor.scores.xxirt | User Defined Item Response Model
IRT.irfprob.gom | Discrete (Rasch) Grade of Membership Model
IRT.irfprob.prob.guttman | Probabilistic Guttman Model
IRT.irfprob.rasch.mirtlc | Multidimensional Latent Class 1PL and 2PL Model
IRT.irfprob.rasch.mml | Estimation of the Generalized Logistic Item Response Model, Ramsay's Quotient Model, Nonparametric Item Response Model, Pseudo-Likelihood Estimation and a Missing Data Item Response Model
IRT.irfprob.rm.facets | Rater Facets Models with Item/Rater Intercepts and Slopes
IRT.irfprob.rm.sdt | Hierachical Rater Model Based on Signal Detection Theory (HRM-SDT)
IRT.irfprob.SingleGroupClass | Some Functions for Wrapping with the 'mirt' Package
IRT.irfprob.smirt | Multidimensional Noncompensatory, Compensatory and Partially Compensatory Item Response Model
IRT.irfprob.xxirt | User Defined Item Response Model
IRT.likelihood.gom | Discrete (Rasch) Grade of Membership Model
IRT.likelihood.prob.guttman | Probabilistic Guttman Model
IRT.likelihood.rasch.copula2 | Multidimensional IRT Copula Model
IRT.likelihood.rasch.copula3 | Multidimensional IRT Copula Model
IRT.likelihood.rasch.mirtlc | Multidimensional Latent Class 1PL and 2PL Model
IRT.likelihood.rasch.mml | Estimation of the Generalized Logistic Item Response Model, Ramsay's Quotient Model, Nonparametric Item Response Model, Pseudo-Likelihood Estimation and a Missing Data Item Response Model
IRT.likelihood.rm.facets | Rater Facets Models with Item/Rater Intercepts and Slopes
IRT.likelihood.rm.sdt | Hierachical Rater Model Based on Signal Detection Theory (HRM-SDT)
IRT.likelihood.SingleGroupClass | Some Functions for Wrapping with the 'mirt' Package
IRT.likelihood.smirt | Multidimensional Noncompensatory, Compensatory and Partially Compensatory Item Response Model
IRT.likelihood.xxirt | User Defined Item Response Model
IRT.mle | Person Parameter Estimation
IRT.modelfit.gom | Discrete (Rasch) Grade of Membership Model
IRT.modelfit.rasch.mirtlc | Multidimensional Latent Class 1PL and 2PL Model
IRT.modelfit.rasch.mml | Estimation of the Generalized Logistic Item Response Model, Ramsay's Quotient Model, Nonparametric Item Response Model, Pseudo-Likelihood Estimation and a Missing Data Item Response Model
IRT.modelfit.rm.facets | Rater Facets Models with Item/Rater Intercepts and Slopes
IRT.modelfit.rm.sdt | Hierachical Rater Model Based on Signal Detection Theory (HRM-SDT)
IRT.modelfit.smirt | Multidimensional Noncompensatory, Compensatory and Partially Compensatory Item Response Model
IRT.modelfit.xxirt | User Defined Item Response Model
IRT.posterior.gom | Discrete (Rasch) Grade of Membership Model
IRT.posterior.prob.guttman | Probabilistic Guttman Model
IRT.posterior.rasch.copula2 | Multidimensional IRT Copula Model
IRT.posterior.rasch.copula3 | Multidimensional IRT Copula Model
IRT.posterior.rasch.mirtlc | Multidimensional Latent Class 1PL and 2PL Model
IRT.posterior.rasch.mml | Estimation of the Generalized Logistic Item Response Model, Ramsay's Quotient Model, Nonparametric Item Response Model, Pseudo-Likelihood Estimation and a Missing Data Item Response Model
IRT.posterior.rm.facets | Rater Facets Models with Item/Rater Intercepts and Slopes
IRT.posterior.rm.sdt | Hierachical Rater Model Based on Signal Detection Theory (HRM-SDT)
IRT.posterior.SingleGroupClass | Some Functions for Wrapping with the 'mirt' Package
IRT.posterior.smirt | Multidimensional Noncompensatory, Compensatory and Partially Compensatory Item Response Model
IRT.posterior.xxirt | User Defined Item Response Model
IRT.se.xxirt | User Defined Item Response Model
isop.dich | Fit Unidimensional ISOP and ADISOP Model to Dichotomous and Polytomous Item Responses
isop.poly | Fit Unidimensional ISOP and ADISOP Model to Dichotomous and Polytomous Item Responses
isop.scoring | Scoring Persons and Items in the ISOP Model
isop.test | Testing the ISOP Model

## -- L --

latent.regression.em.normal | Latent Regression Model for the Generalized Logistic Item Response Model and the Linear Model for Normal Responses
latent.regression.em.raschtype | Latent Regression Model for the Generalized Logistic Item Response Model and the Linear Model for Normal Responses
lavaan2mirt | Converting a 'lavaan' Model into a 'mirt' Model
lc.2raters | Latent Class Model for Two Exchangeable Raters and One Item
likelihood.adjustment | Adjustment and Approximation of Individual Likelihood Functions
linking.haberman | Linking in the 2PL/Generalized Partial Credit Model
linking.robust | Robust Linking of Item Intercepts
logLik.amh | Bayesian Model Estimation with Adaptive Metropolis Hastings Sampling ('amh') or Penalized Maximum Likelihood Estimation ('pmle')
logLik.gom | Discrete (Rasch) Grade of Membership Model
logLik.mlnormal | (Restricted) Maximum Likelihood Estimation with Prior Distributions and Penalty Functions under Multivariate Normality
logLik.pmle | Bayesian Model Estimation with Adaptive Metropolis Hastings Sampling ('amh') or Penalized Maximum Likelihood Estimation ('pmle')
logLik.prob.guttman | Probabilistic Guttman Model
logLik.rasch.copula2 | Multidimensional IRT Copula Model
logLik.rasch.copula3 | Multidimensional IRT Copula Model
logLik.rasch.mirtlc | Multidimensional Latent Class 1PL and 2PL Model
logLik.rasch.mml | Estimation of the Generalized Logistic Item Response Model, Ramsay's Quotient Model, Nonparametric Item Response Model, Pseudo-Likelihood Estimation and a Missing Data Item Response Model
logLik.rm.facets | Rater Facets Models with Item/Rater Intercepts and Slopes
logLik.rm.sdt | Hierachical Rater Model Based on Signal Detection Theory (HRM-SDT)
logLik.smirt | Multidimensional Noncompensatory, Compensatory and Partially Compensatory Item Response Model
logLik.xxirt | User Defined Item Response Model
loglike_mvnorm | Log-Likelihood Value of a Multivariate Normal Distribution
lsdm | Least Squares Distance Method of Cognitive Validation
lsem.estimate | Local Structural Equation Models (LSEM)
lsem.MGM.stepfunctions | Local Structural Equation Models (LSEM)
lsem.permutationTest | Permutation Test for a Local Structural Equation Model

## -- M --

marginal.truescore.reliability | True-Score Reliability for Dichotomous Data
mcmc.2pno | MCMC Estimation of the Two-Parameter Normal Ogive Item Response Model
mcmc.2pno.ml | Random Item Response Model / Multilevel IRT Model
mcmc.2pnoh | MCMC Estimation of the Hierarchical IRT Model for Criterion-Referenced Measurement
mcmc.3pno.testlet | 3PNO Testlet Model
mcmc.list.descriptives | Computation of Descriptive Statistics for a 'mcmc.list' Object
mcmclist2coda | Write Coda File from an Object of Class 'mcmc.list'
mcmc_coef | Some Methods for Objects of Class 'mcmc.list'
mcmc_confint | Some Methods for Objects of Class 'mcmc.list'
mcmc_derivedPars | Some Methods for Objects of Class 'mcmc.list'
mcmc_plot | Some Methods for Objects of Class 'mcmc.list'
mcmc_summary | Some Methods for Objects of Class 'mcmc.list'
mcmc_vcov | Some Methods for Objects of Class 'mcmc.list'
mcmc_WaldTest | Some Methods for Objects of Class 'mcmc.list'
md.pattern.sirt | Response Pattern in a Binary Matrix
mirt.specify.partable | Specify or modify a Parameter Table in 'mirt'
mirt.wrapper | Some Functions for Wrapping with the 'mirt' Package
mirt.wrapper.coef | Some Functions for Wrapping with the 'mirt' Package
mirt.wrapper.fscores | Some Functions for Wrapping with the 'mirt' Package
mirt.wrapper.itemplot | Some Functions for Wrapping with the 'mirt' Package
mirt.wrapper.posterior | Some Functions for Wrapping with the 'mirt' Package
mle.pcm.group | Maximum Likelihood Estimation of Person or Group Parameters in the Generalized Partial Credit Model
mlnormal | (Restricted) Maximum Likelihood Estimation with Prior Distributions and Penalty Functions under Multivariate Normality
modelfit.cor.poly | Assessing Model Fit and Local Dependence by Comparing Observed and Expected Item Pair Correlations
modelfit.sirt | Assessing Model Fit and Local Dependence by Comparing Observed and Expected Item Pair Correlations
monoreg.colwise | Monotone Regression for Rows or Columns in a Matrix
monoreg.rowwise | Monotone Regression for Rows or Columns in a Matrix

## -- N --

nedelsky.irf | Functions for the Nedelsky Model
nedelsky.latresp | Functions for the Nedelsky Model
nedelsky.sim | Functions for the Nedelsky Model
noharm.sirt | NOHARM Model in R
np.dich | Nonparametric Estimation of Item Response Functions

## -- P --

parmsummary_extend | Includes Confindence Interval in Parameter Summary Table
pbivnorm2 | Cumulative Function for the Bivariate Normal Distribution
pcm.conversion | Conversion of the Parameterization of the Partial Credit Model
pcm.fit | Item and Person Fit Statistics for the Partial Credit Model
person.parameter.rasch.copula | Person Parameter Estimation of the Rasch Copula Model (Braeken, 2011)
personfit.stat | Person Fit Statistics for the Rasch Model
pgenlogis | Calculation of Probabilities and Moments for the Generalized Logistic Item Response Model
plausible.value.imputation.raschtype | Plausible Value Imputation in Generalized Logistic Item Response Model
plot.amh | Bayesian Model Estimation with Adaptive Metropolis Hastings Sampling ('amh') or Penalized Maximum Likelihood Estimation ('pmle')
plot.invariance.alignment | Alignment Procedure for Linking under Approximate Invariance
plot.isop | Fit Unidimensional ISOP and ADISOP Model to Dichotomous and Polytomous Item Responses
plot.linking.robust | Robust Linking of Item Intercepts
plot.lsem | Local Structural Equation Models (LSEM)
plot.lsem.permutationTest | Permutation Test for a Local Structural Equation Model
plot.mcmc.sirt | Plot Function for Objects of Class 'mcmc.sirt'
plot.np.dich | Plot Method for Object of Class 'np.dich'
plot.pmle | Bayesian Model Estimation with Adaptive Metropolis Hastings Sampling ('amh') or Penalized Maximum Likelihood Estimation ('pmle')
plot.rasch.mml | Estimation of the Generalized Logistic Item Response Model, Ramsay's Quotient Model, Nonparametric Item Response Model, Pseudo-Likelihood Estimation and a Missing Data Item Response Model
plot.rm.sdt | Hierachical Rater Model Based on Signal Detection Theory (HRM-SDT)
pmle | Bayesian Model Estimation with Adaptive Metropolis Hastings Sampling ('amh') or Penalized Maximum Likelihood Estimation ('pmle')
polychoric2 | Polychoric Correlation
pow | Utility Functions in 'sirt'
print.mlnormal | (Restricted) Maximum Likelihood Estimation with Prior Distributions and Penalty Functions under Multivariate Normality
print.xxirt | User Defined Item Response Model
prior_model_parse | Parsing a Prior Model
prmse.subscores.scales | Proportional Reduction of Mean Squared Error (PRMSE) for Subscale Scores
prob.guttman | Probabilistic Guttman Model

## -- Q --

Q3 | Estimation of the Q_3 Statistic (Yen, 1984)
Q3.testlet | Q_3 Statistic of Yen (1984) for Testlets
qmc.nodes | Calculation of Quasi Monte Carlo Integration Points

## -- R --

R2conquest | Running ConQuest From Within R
R2noharm | Estimation of a NOHARM Analysis from within R
R2noharm.EAP | EAP Factor Score Estimation
R2noharm.jackknife | Jackknife Estimation of NOHARM Analysis
rasch.conquest | Defunct 'sirt' Functions
rasch.copula2 | Multidimensional IRT Copula Model
rasch.copula3 | Multidimensional IRT Copula Model
rasch.evm.pcm | Estimation of the Partial Credit Model using the Eigenvector Method
rasch.jml | Joint Maximum Likelihood (JML) Estimation of the Rasch Model
rasch.jml.biascorr | Bias Correction of Item Parameters for Joint Maximum Likelihood Estimation in the Rasch model
rasch.jml.jackknife1 | Jackknifing the IRT Model Estimated by Joint Maximum Likelihood (JML)
rasch.mirtlc | Multidimensional Latent Class 1PL and 2PL Model
rasch.mml2 | Estimation of the Generalized Logistic Item Response Model, Ramsay's Quotient Model, Nonparametric Item Response Model, Pseudo-Likelihood Estimation and a Missing Data Item Response Model
rasch.pairwise | Pairwise Estimation Method of the Rasch Model
rasch.pairwise.itemcluster | Pairwise Estimation of the Rasch Model for Locally Dependent Items
rasch.pml2 | Defunct 'sirt' Functions
rasch.pml3 | Pairwise Marginal Likelihood Estimation for the Probit Rasch Model
rasch.prox | PROX Estimation Method for the Rasch Model
rasch.va | Estimation of the Rasch Model with Variational Approximation
read.multidimpv | Running ConQuest From Within R
read.pimap | Running ConQuest From Within R
read.pv | Running ConQuest From Within R
read.show | Running ConQuest From Within R
read.show.regression | Running ConQuest From Within R
read.show.term | Running ConQuest From Within R
reliability.nonlinearSEM | Estimation of Reliability for Confirmatory Factor Analyses Based on Dichotomous Data
rinvgamma2 | Inverse Gamma Distribution in Prior Sample Size Parameterization
rm.facets | Rater Facets Models with Item/Rater Intercepts and Slopes
rm.sdt | Hierachical Rater Model Based on Signal Detection Theory (HRM-SDT)
rowCumsums.sirt | Some Matrix Functions
rowIntervalIndex.sirt | Some Matrix Functions
rowKSmallest.sirt | Some Matrix Functions
rowKSmallest2.sirt | Some Matrix Functions
rowMaxs.sirt | Some Matrix Functions
rowMins.sirt | Some Matrix Functions

## -- S --

sia.sirt | Statistical Implicative Analysis (SIA)
sim.qm.ramsay | Simulate from Ramsay's Quotient Model
sim.rasch.dep | Simulation of the Rasch Model with Locally Dependent Responses
sim.raschtype | Simulate from Generalized Logistic Item Response Model
sirt | Supplementary Item Response Theory Models
sirt-defunct | Defunct 'sirt' Functions
sirt-utilities | Utility Functions in 'sirt'
smirt | Multidimensional Noncompensatory, Compensatory and Partially Compensatory Item Response Model
soft_thresholding | Utility Functions in 'sirt'
starts_cov | Some Functions for the STARTS model
starts_sim1dim | Some Functions for the STARTS model
stratified.cronbach.alpha | Stratified Cronbach's Alpha
summary.amh | Bayesian Model Estimation with Adaptive Metropolis Hastings Sampling ('amh') or Penalized Maximum Likelihood Estimation ('pmle')
summary.btm | Extended Bradley-Terry Model
summary.fuzcluster | Clustering for Continuous Fuzzy Data
summary.gom | Discrete (Rasch) Grade of Membership Model
summary.invariance.alignment | Alignment Procedure for Linking under Approximate Invariance
summary.IRT.modelfit.gom | Discrete (Rasch) Grade of Membership Model
summary.IRT.modelfit.rasch.mirtlc | Multidimensional Latent Class 1PL and 2PL Model
summary.IRT.modelfit.rasch.mml | Estimation of the Generalized Logistic Item Response Model, Ramsay's Quotient Model, Nonparametric Item Response Model, Pseudo-Likelihood Estimation and a Missing Data Item Response Model
summary.IRT.modelfit.rm.facets | Rater Facets Models with Item/Rater Intercepts and Slopes
summary.IRT.modelfit.rm.sdt | Hierachical Rater Model Based on Signal Detection Theory (HRM-SDT)
summary.IRT.modelfit.smirt | Multidimensional Noncompensatory, Compensatory and Partially Compensatory Item Response Model
summary.IRT.modelfit.xxirt | User Defined Item Response Model
summary.isop | Fit Unidimensional ISOP and ADISOP Model to Dichotomous and Polytomous Item Responses
summary.isop.test | Testing the ISOP Model
summary.latent.regression | Latent Regression Model for the Generalized Logistic Item Response Model and the Linear Model for Normal Responses
summary.lc.2raters | Latent Class Model for Two Exchangeable Raters and One Item
summary.linking.haberman | Linking in the 2PL/Generalized Partial Credit Model
summary.linking.robust | Robust Linking of Item Intercepts
summary.lsdm | Least Squares Distance Method of Cognitive Validation
summary.lsem | Local Structural Equation Models (LSEM)
summary.lsem.permutationTest | Permutation Test for a Local Structural Equation Model
summary.mcmc.sirt | Summary Method for Objects of Class 'mcmc.sirt'
summary.mcmc_WaldTest | Some Methods for Objects of Class 'mcmc.list'
summary.mlnormal | (Restricted) Maximum Likelihood Estimation with Prior Distributions and Penalty Functions under Multivariate Normality
summary.noharm.sirt | NOHARM Model in R
summary.pmle | Bayesian Model Estimation with Adaptive Metropolis Hastings Sampling ('amh') or Penalized Maximum Likelihood Estimation ('pmle')
summary.prob.guttman | Probabilistic Guttman Model
summary.R2conquest | Running ConQuest From Within R
summary.R2noharm | Estimation of a NOHARM Analysis from within R
summary.R2noharm.jackknife | Jackknife Estimation of NOHARM Analysis
summary.rasch.copula2 | Multidimensional IRT Copula Model
summary.rasch.copula3 | Multidimensional IRT Copula Model
summary.rasch.evm.pcm | Estimation of the Partial Credit Model using the Eigenvector Method
summary.rasch.jml | Joint Maximum Likelihood (JML) Estimation of the Rasch Model
summary.rasch.mirtlc | Multidimensional Latent Class 1PL and 2PL Model
summary.rasch.mml | Estimation of the Generalized Logistic Item Response Model, Ramsay's Quotient Model, Nonparametric Item Response Model, Pseudo-Likelihood Estimation and a Missing Data Item Response Model
summary.rasch.pairwise | Pairwise Estimation Method of the Rasch Model
summary.rasch.pml | Pairwise Marginal Likelihood Estimation for the Probit Rasch Model
summary.rm.facets | Rater Facets Models with Item/Rater Intercepts and Slopes
summary.rm.sdt | Hierachical Rater Model Based on Signal Detection Theory (HRM-SDT)
summary.smirt | Multidimensional Noncompensatory, Compensatory and Partially Compensatory Item Response Model
summary.xxirt | User Defined Item Response Model

## -- T --

tam2mirt | Converting a fitted 'TAM' Object into a 'mirt' Object
testlet.marginalized | Marginal Item Parameters from a Testlet (Bifactor) Model
testlet.yen.q3 | Defunct 'sirt' Functions
tetrachoric2 | Tetrachoric Correlation Matrix
tracemat | Utility Functions in 'sirt'
truescore.irt | Conversion of Trait Scores theta into True Scores tau ( theta )

## -- U --

unidim.test.csn | Test for Unidimensionality of CSN

## -- V --

vcov.amh | Bayesian Model Estimation with Adaptive Metropolis Hastings Sampling ('amh') or Penalized Maximum Likelihood Estimation ('pmle')
vcov.mlnormal | (Restricted) Maximum Likelihood Estimation with Prior Distributions and Penalty Functions under Multivariate Normality
vcov.pmle | Bayesian Model Estimation with Adaptive Metropolis Hastings Sampling ('amh') or Penalized Maximum Likelihood Estimation ('pmle')
vcov.rasch.evm.pcm | Estimation of the Partial Credit Model using the Eigenvector Method
vcov.xxirt | User Defined Item Response Model

## -- W --

wle.rasch | Weighted Likelihood Estimation of Person Abilities
wle.rasch.jackknife | Standard Error Estimation of WLE by Jackknifing

## -- X --

xxirt | User Defined Item Response Model
xxirt_createDiscItem | Create Item Response Functions and Item Parameter Table
xxirt_createParTable | Create Item Response Functions and Item Parameter Table
xxirt_createThetaDistribution | Creates a User Defined Theta Distribution
xxirt_hessian | User Defined Item Response Model
xxirt_modifyParTable | Create Item Response Functions and Item Parameter Table

## -- Y --

yen.q3 | Defunct 'sirt' Functions