Alternating least-sqaures for estimating row and column scores in constrained dual scaling, where different groups are allowed for.
group.ALS(
a,
m,
q,
G,
Fr.cent,
eps = 0.1,
maxit = 50,
Mmat,
info.level = 2,
const,
K,
n,
tol
)
A 2n
-vector of row scores.
Integer; the number of items.
Integer; the rating scale from 1:q
.
An indicator matrix of size n
by K
.
The centred F_r matrix.
The numerical tolerance level for the loss.
Integer; the maximum number of iterations allowed.
Matrix of spline basis functions.
Integer controlling the amount of information printed.
The constant part of the loss function.
The number of latent classes.
The number of samples.
tolerance tol
passed to lsei
of the
limSolve package