Control Parameters for slca Estimation

Specifies control parameters for estimating slca model.

Usage

slcaControl(
  em.iterlim = 5000,
  em.tol = 1e-08,
  nlm.iterlim = 1000,
  nlm.tol = 1e-10,
  init.param = NULL,
  nrep = 1,
  test.iter = 500,
  na.rm = FALSE,
  verbose = FALSE
)

Arguments

em.iterlim

an integer specifying the maximum number of iterations allowed for the EM algorithm. The default is 5000.

em.tol

a numeric value setting the tolerance for convergence of the EM algorithm. The default is 1e-8.

nlm.iterlim

an integer specifying the maximum number of iterations allowed when using the nlm function for estimation. The default is 1000.

nlm.tol

a numeric value setting the tolerance for convergence of the nlm function. The default is 1e-10.

init.param

a numeric vector specifying the initial parameter values for estimation.

nrep

an integer specifying the number of estimation trials. The default is 1.

test.iter

an integer specifying the maximum number of iterations allowed for parameter testing. The default is 500.

na.rm

a logical value indicating whether to remove observations containing missing values (NA). The default is FALSE.

verbose

a logical value indicating whether to display progress updates during the estimation process. The default is FALSE.

A list containing control parameters for slca estimation, including the specified iteration limits, tolerances, and additional options.

Control Parameters for `slca` Estimation

Usage

Arguments

See also