nnr.control {assist}  R Documentation 
Control parameters supplied in the function call replace
the defaults to be used in calling nnr
.
nnr.control(job = 1, tol = 0, max.iter = 50, init = 0, limnla = c(10, 0), varht = NULL, theta = NULL, prec = 1e06, maxit = 30, method = "NR", increment = 1e04, backfit = 5, converg = "coef", toler = 0.001)
job 
an integer representing the optimization method used to find the smoothing parameter. The options are job=1: goldensection search on (limnla(1), limnla(2)); job=0: goldensection search with interval specified automatically; job >0: regular grid search on [limnla(1), limnla(2)] with #(grids) = job + 1. Default is 1. 
tol 
tolerance for truncation used in `dsidr'. Default is 0.0, which sets to square of machine precision. 
max.iter 
maximum number of iterations allowed for the GaussNewton/NewtonRaphson iteration. 
init 
an integer of 0 or 1 indicating if initial values are provided for theta. If init=1, initial values are provided using theta. Default is 0. 
limnla 
a vector of length 2, specifying a search range for the n times smoothing parameter on log10 scale. Default is (10, 0). 
varht 
needed only when vmu="u", which gives the fixed variance in calculation of the UBR function. Default is NULL. 
theta 
If `init=1', theta includes intial values for smoothing parameters. Default is NULL. 
prec 
precision requested for the minimum score value, where precision is the weaker of the absolute and relative precisions. Default is 1e06. 
maxit 
maximum number of iterations allowed. Default is 30. 
method 
a character string specifying a method for iterations, "GN" for GaussNewton and "NR" for NewtonRaphson. Default is "GN". 
increment 

backfit 
an integer representing the number of backfitting iterations for multiple functions. Default is 5. 
converg 
an optional character, with possible values "coef" and "ortho", specifying the convergence criterion to be used. "coef" uses the change of estimate of parameters and functions to assess convergence, and "ortho" uses a criterion similar to the relative offset used in nls. Default is "coef". 
toler 
tolerance for convergence of the algorithm. Default is 0.001. 
returned is a list includes all reseted control parameters.
Chunlei Ke chunlei_ke@pstat.ucsb.edu and Yuedong Wang yuedong@pstat.ucsb.edu
## use NewtonRaphson nnr.control(method="NR")