Constrained Dual Scaling for Detecting Response Styles

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Documentation for package ‘cds’ version 1.0.4

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cds-package Constrained Dual Scaling for Successive Categories
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.sim Grouped Simulation with Response Styles
clean.scales Impute Optimal Scores for Rating Categories
clean.scales.cds Impute Optimal Scores for Rating Categories
clean.scales.cdslist Impute Optimal Scores for Rating Categories
cl_class_ids.cds S3 Methods for Integration into 'clue' Framework
cl_class_ids.cdsdata S3 Methods for Integration into 'clue' Framework
create.ind Create Indicator Matrix
create.rs Create a response style
createcdsdata Create a cdsdata Object
datsim Simulate Data for a Single Response Style
G.start Constrained Dual Scaling for a Single Random G Start
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
is.cl_hard_partition.cds S3 Methods for Integration into 'clue' Framework
is.cl_hard_partition.cdsdata S3 Methods for Integration into 'clue' Framework
is.cl_partition.cds S3 Methods for Integration into 'clue' Framework
is.cl_partition.cdsdata S3 Methods for Integration into 'clue' Framework
ispline Quadratic monotone spline basis function for given knots.
Lfun Calculate Constrained Dual Scaling Loss
Lfun.G.upd Calculate Loss for G Update
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