A matrix (or vector) with columns giving lower and upper
confidence limits for each parameter. These will be
labelled as (1-level)/2 and 1-(1-level)/2 in % (by default
2.5% and 97.5%).
Arguments
object
a fitted model object, resulting from a
call to logbin.
parm
a specification of which parameters are to be
given confidence intervals, either a vector of numbers or
a vector of names. If missing, all parameters are
considered.
Calculates confidence intervals for model parameters assuming
asymptotic normality and using the result from vcov.logbin(object).
As such, if the MLE is on the boundary of the parameter space,
(as per object$boundary) the normality assumption
is invalid and NA is returned.