bootstrap.clmdu         Bootstrap procedure for Cumulative Logistic
                        (Restricted) MDU
bootstrap.clpca         Bootstrap procedure for Cumulative Logistic
                        (Restricted) PCA
bootstrap.lmdu          Bootstrap procedure for Logistic (Restricted)
                        MDU
bootstrap.lpca          Bootstrap procedure for Logistic (Restricted)
                        PCA
bootstrap.mcd           Bootstrap procedure for Multonimal Canonical
                        Decomposition Model
bootstrap.mrrr          Bootstrap procedure for Multinomial Reduced
                        Rank Model
bootstrap.mru           Bootstrap procedure for Multinomial Restricted
                        Unfolding
clmdu                   Cumulative Logistic (Restricted) MDU
clpca                   Cumulative Logistic (Restricted) PCA
dataExample_clmdu       Dummy data for clmdu example
dataExample_clpca       Dummy data for clpca example
dataExample_lmdu        Dummy data for lmdu example
dataExample_lpca        Dummy data for lpca example
dataExample_mru         Dummy data for mru example
diabetes                Diabetes data
dpes                    Dutch Parliamentary Election Study
fastmbu                 Fast version of mbu. It runs mbu without input
                        checks.
fastmru                 Fast version of mru. It runs mru without input
                        checks.
kieskompas              Kieskompas data
liver                   Liver
lmdu                    Logistic (Restricted) MDU
lpca                    Logistic (Restricted) PCA
make.df.for.varlabels   Helper function for the plot functions
make.dfs.for.X          Helper function for the plot functions
mcd1                    Multinomial Canonical Decomposition Model for
                        Multivariate Binary Data
mcd2                    Multinomial Canonical Decomposition Model for a
                        multinomial outcome
mlr                     Multinomial Logistic Regression
mrrr                    Multinomial Reduced Rank Regression
mru                     Multinomial Restricted MDU
nesda                   Netherlands Study for Depression and Anxiety
oos.comparison          This function compares the predictive
                        performance of several models fitted on the
                        same data
plot.bootstrap          Plot an object obtained using one of the
                        bootstrap functions
plot.clmdu              Plots a Cumulative Logistic MDU model
plot.clpca              Plots a Cumulative Logistic PCA model
plot.lmdu               Plots a Logistic MDU model
plot.lpca               Plots a Logistic PCA Model
plot.mrrr               Plots a Multinomial Reduced Rank Model
plot.mru                Plots a Multinomial Restricted MDU model
plot.trioscale          Plotting function for object of class trioscale
predict.clmdu           The function predict.clmdu makes predictions
                        for a test/validation set based on a fitted cl
                        restricted multidimensional unfolding model
                        (clmdu with X)
predict.clpca           The function predict.clpca makes predictions
                        for a test/validation set based on a fitted
                        clrrr model (clpca with X)
predict.lmdu            The function predict.lmdu makes predictions for
                        a test/validation set based on a fitted lrmdu
                        model (lmdu with X)
predict.lpca            The function predict.lpca makes predictions for
                        a test/validation set based on a fitted lrrr
                        model (lpca with X)
predict.mlr             The function predict.mlr makes predictions for
                        a test/validation set based on a fitted mlr
                        model
predict.mrrr            The function predict.mrrr makes predictions for
                        a test/validation set based on a fitted mrrr
                        model
predict.mru             The function predict.mru makes predictions for
                        a test/validation set based on a fitted mru
                        model
procrustes1             Two procedures for procrustes analysis
procx                   Helper function for pre-processing the
                        predictors
read_drugdata           Function for reading the drug consumption data
                        from the UCI repository
read_isspdata_peb       Function to read in the ISSP data It requires
                        the file ZA7650_v1-0-0.sav to be on your
                        computer this file can be obtained from
                        /www.gesis.org/en/issp/modules/issp-modules-by-topic/environment/2020
                        ZA7650 Data file Version 1.0.0,
                        https://doi.org/10.4232/1.13921.
summary.clmdu           Summarizing Cumulative Logistic MDU models The
                        function summary.lmdu gives a summary from an
                        object from clmdu()
summary.clpca           Summarizing Cumulative Logistic PCA models
summary.lmdu            Summarizing Logistic MDU models
summary.lpca            Summarizing Logistic PCA models
summary.mcd             Summarizing an Multinomial Canonical
                        Decomposition Model
summary.mlr             Summarizing Multinomial Logistic Regression
                        Model
summary.mrrr            Summarizing Multinomial Reduced Rank Model
summary.mru             Summarizing Multinomial Restricted Unfolding
                        Model The function summary.mru gives a summary
                        from an object from mru()
summary.trioscale       Summarizing TrioScale
theme_lmda              Theme_lmda
trioscale               Function for TRIOSCALE
twomodedistance         The function twomodedistance computes the two
                        mode (unfolding) distance
