G.start                 Constrained Dual Scaling for a Single Random G
                        Start
Lfun                    Calculate Constrained Dual Scaling Loss
Lfun.G.upd              Calculate Loss for G Update
addbounds               Augment with Boundaries Between Rating Scale
                        Categories and Rank
approxloads             Low Rank Approximation LL' of a Square
                        Symmetrix Matrix R
calc.wt.bubbles         Calculate the Weights for Bubble Plots
cds                     Constrained Dual Scaling for Successive
                        Categories with Groups
cds-package             Constrained Dual Scaling for Successive
                        Categories
cds.sim                 Grouped Simulation with Response Styles
cl_class_ids.cds        S3 Methods for Integration into 'clue'
                        Framework
clean.scales            Impute Optimal Scores for Rating Categories
create.ind              Create Indicator Matrix
create.rs               Create a response style
createcdsdata           Create a cdsdata Object
datsim                  Simulate Data for a Single Response Style
gen.cop                 Generate a Copula
genPCA                  Generate PCA data and Calculates Correlation
                        Matrices
group.ALS               Alternating Least Squares with Groups for
                        Constrained Dual Scaling
indmat                  Create an Indicator Matrix
ispline                 Quadratic monotone spline basis function for
                        given knots.
orthprocr               Orthogonal Procrustes Analysis
plot.cds                Plot cds Objects
plot.cdslist            Plot a 'cdslist' Object
print.cds               Print cds Object
print.cdsdata           Print dsdata Objects
rcormat                 Randomly Generate Low-Rank Correlation Matrix
rcovmat                 Construct a Structured Covariance Matrix for
                        Simulations
sensory                 sensory Data
sensory.aux             Auxiliary Information for 'sensory' Data
simpca                  Simulate Data with a Specific Principal
                        Components Structure and Response Style
                        Contamination
trQnorm                 Truncated Normal Quantiles
trRnorm                 Truncated Normal Sampling
updateG                 Update the Grouping Matrix
