snr.control {assist} | R Documentation |
Set Control Parameters for snr
Description
Control parameters supplied in the function call replace
the defaults to be used in calling snr
.
Usage
snr.control(rkpk.control = list(job = -1, tol = 0, init = 0, limnla = c(-10,
0), varht = NULL, theta = NULL, prec = 1e-06, maxit = 30),
nls.control = list(returnObject = TRUE, maxIter = 5), incDelta = 0.001,
prec.out = 0.001, maxit.out = 30, converg = "COEF", method = "GN",
backfit = 5)
Arguments
rkpk.control |
a optional list of control parameters for dsidr or dmudr to estimate the unknown functions. Default is "list(job = -1, tol = 0, init = 0, limnla = c(-10, 0), varht = NULL, theta = NULL, prec = 1e-06, maxit = 30)". |
nls.control |
a list of control parameters for the nonlinear regression step, the same as gnlsControl. Default is "list(returnObject = TRUE, maxIter = 5). |
incDelta |
the incremental value to be used to calculate derivatives for the unknown functions. Default is 0.001 |
prec.out |
tolerance for convergence criterion. Default is 0.0001. |
maxit.out |
maximum number of iterations for the algorithm. Default is 30. |
converg |
an optional character, with possible values |
method |
an optional string of value either |
backfit |
an integer to set the number of backfitting iterations inside the loop. Default is 5 |
.
Value
returned is a list includes all re-seted control parameters.
Author(s)
Chunlei Ke chunlei_ke@yahoo.com and Yuedong Wang yuedong@pstat.ucsb.edu.
See Also
Examples
## use Newton-Raphson iteration and only a single backfitting
## Not run:
snr.control(method="NR", backfit=1)
## End(Not run)