Computes confidence intervals for one or more parameters in a fitted model.
# S3 method for cmp
confint(object, parm, level = 0.95, ...)an object class 'cmp', obtained from a call to glm.cmp.
a specification of which parameters are to be given confidence intervals, either a vector of numbers or a vector of names (comparing to those provided by coef()) . If missing, all parameters are considered.
the confidence level required.
other arguments passed to or from other methods (currently unused).
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%).
data(attendance)
M.attendance <- glm.cmp(daysabs ~ gender + math + prog, data = attendance)
confint(M.attendance)
#> 2.5 % 97.5 %
#> (Intercept) 2.34145410 3.087836330
#> gendermale -0.44432497 0.014885309
#> math -0.01099927 -0.001646776
#> progAcademic -0.75758415 -0.093060290
#> progVocational -1.62526642 -0.882524676
confint(M.attendance, parm = "math", level = 0.9)
#> 5 % 95 %
#> math -0.01024745 -0.002398593