ForceChoice-package     ForceChoice: Forced-Choice Modeling Based on
                        IRT and CDM
coef                    S3 Methods: coef
confint                 S3 Methods: confint
deviance                S3 Methods: deviance
extract                 S3 Methods: extract
fit.FCDCM               Fit the Forced-Choice Diagnostic Classification
                        Model (FCDCM)
fit.FCGDINA             Fit the Forced-Choice GDINA Model
fit.FCGGUM              Fit the Forced-Choice Generalized Graded
                        Unfolding Model (FCGGUM)
fit.FCMIRT              Fit the Forced-Choice Multidimensional IRT
                        (FCMIRT) Model
fit.MGGUM               Fit the Multidimensional Generalized Graded
                        Unfolding Model (MGGUM)
fit.MGPCM               Fit the Multidimensional Generalized Partial
                        Credit Model (MGPCM)
fit.MIRT                Fit the Multidimensional Item Response Theory
                        (MIRT) Model
fit.TIRT                Fit the Thurstonian Item Response Theory (TIRT)
                        Model
fitted                  S3 Methods: fitted
forced_choice_data_conversion
                        Forced-Choice Data Conversion Formats
get.block.items.from.data
                        Extract Block Items from Forced-Choice Data
get.block.items.from.data.FCDCM
                        Extract Block Items from FCDCM Data
get.data.from.response
                        Convert an Integer Response (Pattern-Index)
                        Matrix to FC Data Strings
get.data.from.response.FCDCM
                        Convert an FCDCM Response Matrix to FC Data
                        Strings
get.data.from.response.TIRT
                        Convert TIRT Pairwise-Response Matrix to
                        Forced-Choice Data Strings
get.fit.index.FCDCM     Goodness-of-Fit Indices for Fitted Models
get.log_lik             Extract pointwise log-likelihood matrix
get.response.from.data
                        Convert FC Data Strings to an Integer Response
                        (Pattern-Index) Matrix
get.response.from.data.FCDCM
                        Convert FCDCM Data Strings to a Binary Response
                        Matrix
get.response.from.data.TIRT
                        Convert TIRT Forced-Choice Data to
                        Pairwise-Response Matrix
good.of.fit             Goodness-of-Fit Indices for Latent Probability
                        Models
nobs                    S3 Methods: nobs
plot                    S3 Methods: plot
predict                 S3 Methods: predict
print                   S3 Methods: print
residuals               S3 Methods: residuals
rotate                  S3 Methods: rotate
sim.data.FCDCM          Simulate Data from the Forced-Choice DCM Model
sim.data.FCGDINA        Simulate Forced-Choice GDINA Data
sim.data.FCGGUM         Simulate Data from the Forced-Choice GGUM Model
sim.data.FCMIRT         Simulate FCMIRT Data
sim.data.MGGUM          Simulate Data from the Multidimensional
                        Generalized Graded Unfolding Model
sim.data.MGPCM          Simulate Data from the Multidimensional
                        Generalized Partial Credit Model
sim.data.MIRT           Simulate Data from the Multidimensional IRT
                        (MIRT) Model
sim.data.TIRT           Simulate Data from the Thurstonian IRT (TIRT)
                        Model
summary                 S3 Methods: summary
triplets                Triplets of Pairwise Comparisons
update                  S3 Methods: update
vcov                    S3 Methods: vcov
