G.start: Constrained Dual Scaling for a Single Random G Start

In cds: Constrained Dual Scaling for Detecting Response Styles

Constrained Dual Scaling for a Single Random G Start

Description

Run algorithm for a single G matrix.

Usage

G.start(
  X,
  nr.starts.a,
  astarts,
  maxit,
  n,
  m,
  q,
  Fr.cent,
  maxit.ALS,
  Mmat,
  eps.G,
  info.level,
  times.a.multistart,
  eps.ALS,
  const,
  K,
  random.G,
  tol,
  update.G
)

Arguments

X	List of two elements, namely i giving the number of the start and G given the starting configuration
nr.starts.a	The number or random starts for a to use in the ALS.
astarts	Explicit starts for a, if applicable.
maxit	The maximum number of iterations with respect to G.
n	The number of respondents.
m	The number of items.
q	The maximum rating category such that the rating scale is 1:q.
Fr.cent	The centred Fr matrix.
maxit.ALS	The maximum number of ALS iterations.
Mmat	The basis matrix for the quadratic monotone splines.
eps.G	The absolute error tolerance for the G updates.
info.level	Integer controlling the amount of information printed.
times.a.multistart	The number of times random starts for a is used.
eps.ALS	The absolute error tolerance for the ALS.
const	The constant part of the loss function.
K	The number of groups.
random.G	The random argument passed to updateG.
tol	tolerance tol passed to lsei of the limSolve package)
update.G	Logical indicating whether or not to update the starting configuration G in X

cds documentation built on April 16, 2025, 1:10 a.m.