Auxiliary function for logbin
fitting.
Typically only used internally by nplbin
,
but may be used to construct a
control
argument to that function.
1  logbin.control(bound.tol = 1e06, epsilon = 1e08, 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
ε; the estimates are considered to have
converged when √{
∑ (θ_{old}  θ_{new})^2} / √ {∑
θ_{old}^2} < ε, where θ is the
vector of parameter estimates. See This should be smaller than 
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 logbin
is by
default passed to the control
argument of
nplbin
.
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.
nplbin
, the
function used to fit logbin
models.
1 2 3 4 5 6 7 8 9 10 
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