slcaControl {slca} | R Documentation |
Control Parameters for slca Estimation
Description
Control Parameters for slca Estimation
Usage
slcaControl(
em.iterlim = 3000,
em.tol = 1e-06,
nlm.iterlim = 1000,
nlm.tol = 1e-08,
init.param = NULL,
nrep = 1,
test.iter = 200,
na.rm = FALSE,
verbose = TRUE
)
Arguments
em.iterlim |
an integer specifying maximum number of iterations allowed for EM algorithm. Default is 3000. |
em.tol |
a numeric value setting tolerance for the convergence of EM algorithm. Default is 1e-6. |
nlm.iterlim |
an integer specifying maximum number of iterations allowed for estimation with |
nlm.tol |
a numeric value setting tolerance for the convergence of |
init.param |
initial parameters. |
nrep |
number of trials. Default is 1. |
test.iter |
an integer specifying maximum number of iterations allowed for testing parameters. Default is 200 |
na.rm |
a logical value indicating whether to remove observations including missing values (NA) |
verbose |
a logical value indicating whether to display progress updates during the estimation process |
Value
a list
with control parameters for slca estimation.