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Control numerical optimization for lmm()

Source: R/lmm.R
lmm_control.Rd

Control numerical optimization for lmm()

Usage

lmm_control(
  optimizer = c("auto", "nlminb", "optim"),
  optim_method = "BFGS",
  max_iter = 1000L,
  rel_tol = 1e-08,
  x_tol = 1e-08,
  initial = NULL,
  lower = -20,
  upper = 20,
  deriv_method = "Richardson",
  max_restarts = 3L,
  restart_scale = 0.25
)

Arguments

optimizer

Optimizer strategy: "auto", "nlminb", or "optim".

optim_method

Method passed to stats::optim() when optimizer = "optim".

max_iter

Maximum number of optimizer iterations.

rel_tol

Relative convergence tolerance.

x_tol

Parameter convergence tolerance for stats::nlminb().

initial

Optional numeric vector of unconstrained starting values.

lower, upper

Bounds for unconstrained covariance parameters.

deriv_method

Numerical differentiation method passed to numDeriv.

max_restarts

Maximum number of deterministic restart attempts after an unsuccessful initial fit.

restart_scale

Size of deterministic perturbations to starting values.

Value

An object of class lmm_control.