A list of parameters for controlling the fitting process.
lqmmControl(method = "gs", LP_tol_ll = 1e-5, LP_tol_theta = 1e-5,
check_theta = FALSE, LP_step = NULL, beta = 0.5, gamma = 1,
reset_step = FALSE, LP_max_iter = 500, UP_tol = 1e-4,
UP_max_iter = 20, startQR = FALSE, verbose = FALSE)character vector that specifies the estimation method: "gs" for gradient search (default) and "df" for Nelder-Mead.
tolerance expressed as absolute change of the log-likelihood.
tolerance expressed as absolute change of theta
logical flag. If TRUE the algorithm performs an additional check on the change in the estimates.
step size (default standard deviation of response).
decreasing step factor for line search (0,1).
nondecreasing step factor for line search (>= 1).
logical flag. If TRUE the step size is reset to the initial value at each iteration.
maximum number of iterations
tolerance expressed as absolute change of the scale parameter.
maximum number of iterations.
logical flag. If FALSE (default) the least squares estimate of the fixed effects is used as starting value of theta_x and scale. If TRUE the lqm estimate is used.
logical flag.
a list of control parameters.
LP (lower loop) refers to the estimation of regression coefficients and variance-covariance parameters. UP (upper loop) refers to the estimation of the scale parameter.