assist (version 3.1.9)

snm.control: Set Control Parameters for snm

Description

Control parameters supplied in the function call replace the defaults to be used in calling snm.

Usage

snm.control(rkpk.control, nlme.control, prec.out=0.0005, 
  maxit.out=30, converg="COEF", incDelta)

Value

Returned is a list includes all re-seted control parameters.

Arguments

rkpk.control

a optional list of control parameters for dsidr or dmudr to estimate the unknown functions.

nlme.control

a list of control parameters for the nonlinear regression step, the same as nlmeControl. Default is list(returnObject = T, maxIter = 5).

prec.out

tolerance for convergence criterion. Default is 0.0005.

maxit.out

maximum number of iterations for the algorithm. Default is 30.

converg

an optional character, with possible values "COEF" and "PRSS", specifying the convergence criterion to be used. "COEF" uses the change of estimate of parameters and functions to assess convergence, and "PRSS" uses penalized residual sums of squares. Default is "COEF".

incDelta

specifies a small value as increment to calcuate derivatives. Default is 0.001.

Author

Chunlei Ke and Yuedong Wang

See Also

snm, dsidr, dmudr

Examples

if (FALSE) {
## set maximum iteration to be 50
snm.control(maxit.out=50)
}