gldrm algorithmThis function returns control arguments for the gldrm algorithm.
Each argument has a default value, which will be used unless a different
value is provided by the user.
gldrm.control(
eps = 1e-10,
maxiter = 100,
returnfTiltMatrix = TRUE,
returnf0ScoreInfo = FALSE,
print = FALSE,
betaStart = NULL,
f0Start = NULL
)Object of S3 class "gldrmControl", which is a list of control arguments.
Convergence threshold. The fitting algorithm has converged when the
relative change in log-likelihood between iterations is less than eps.
A single iteration consists of a beta update followed by an f0
update.
Maximum number of iterations allowed.
Logical. Return nonparametric fitted probabilities for each observation. This is a matrix with nrow equal to the number of observations and ncol equal to the number of unique response values observed.
Logical. If TRUE, the score and information for
log(f0) are returned as components of the "gldrm" object.
Logical. If TRUE, the relative change in the log-likelihood
will be printed after each iteration.
Optional vector of starting values for beta. If the
call to gldrm contains a formula, the values of betaStart should correspond to
the columns of the model matrix.
Optional vector of starting values for f0. The length
of the vector should be the number of unique values in the response, and the
vector should correspond to these values sorted in increasing order. The starting
values will be scaled to sum to one and tilted to have mean mu0. All values
should be strictly positive.