confint.logbin: Confidence Intervals for logbin Model Parameters
Description
Computes confidence intervals for one or more parameters in
a fitted logbin model.
Usage
## S3 method for class 'logbin':
confint(object, parm, level = 0.95, ...)
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.
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%).
Details
Calculates confidence intervals for model parameteres 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.