lqmmControl | R Documentation |
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)
method |
character vector that specifies the estimation method: "gs" for gradient search (default) and "df" for Nelder-Mead. |
LP_tol_ll |
tolerance expressed as absolute change of the log-likelihood. |
LP_tol_theta |
tolerance expressed as absolute change of |
check_theta |
logical flag. If TRUE the algorithm performs an additional check on the change in the estimates. |
LP_step |
step size (default standard deviation of response). |
beta |
decreasing step factor for line search (0,1). |
gamma |
nondecreasing step factor for line search (>= 1). |
reset_step |
logical flag. If |
LP_max_iter |
maximum number of iterations |
UP_tol |
tolerance expressed as absolute change of the |
UP_max_iter |
maximum number of iterations. |
startQR |
logical flag. If |
verbose |
logical flag. |
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.
a list of control parameters.
Marco Geraci
lqmm
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