addreg.control {addreg}  R Documentation 
Auxiliary function for addreg
fitting.
Typically only used internally by nnpois
and
nnnegbin
, but may
be used to construct a control
argument to these functions.
addreg.control(bound.tol = 1e06, epsilon = 1e10, maxit = 10000, trace = 0)
bound.tol 
positive tolerance specifying the
interior of the parameter space. If the fitted model is
more than 
epsilon 
positive convergence tolerance

maxit 
integer giving the maximum number of EM algorithm iterations for a given parameterisation. 
trace 
number indicating level of output that should be produced. >= 1 gives output for each parameterisation, >= 2 gives output at each iteration. 
This is used similarly to glm.control
. The
control
argument of addreg
is by
default passed to the control
argument of
nnpois
or nnnegbin
.
When trace
is greater than zero, calls to
cat
produce the output. Hence,
options(digits = *)
can be used to increase
the precision.
A list with components named as the arguments.
Mark W. Donoghoe markdonoghoe@gmail.com
glm.control
, the equivalent function for
glm
fitting.
nnpois
and nnnegbin
, the
functions used to fit addreg
models.
## Variation on example(glm.control) :
counts < c(18,17,15,20,10,20,25,13,12)
outcome < gl(3,1,9)
treatment < gl(3,3)
oo < options(digits = 12)
addreg.D93X < addreg(counts ~ outcome + treatment, family = poisson,
trace = 2, epsilon = 1e2)
options(oo)
coef(addreg.D93X)