slcaControl {slca} | R Documentation |
Control Parameters for slca
Estimation
Description
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 |
em.tol |
a numeric value setting the tolerance for convergence of the EM algorithm. The default is |
nlm.iterlim |
an integer specifying the maximum number of iterations allowed when using the |
nlm.tol |
a numeric value setting the tolerance for convergence of the |
init.param |
a numeric vector specifying the initial parameter values for estimation. |
nrep |
an integer specifying the number of estimation trials. The default is |
test.iter |
an integer specifying the maximum number of iterations allowed for parameter testing. The default is |
na.rm |
a logical value indicating whether to remove observations containing missing values ( |
verbose |
a logical value indicating whether to display progress updates during the estimation process. The default is A |