mpcmp (version 0.3.6)

confint.cmp: Confidence Intervals for CMP Model Parameters

Description

Computes confidence intervals for one or more parameters in a fitted model.

Usage

# S3 method for cmp
confint(object, parm, level = 0.95, ...)

Arguments

object

an object class 'cmp', obtained from a call to glm.cmp.

parm

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.

level

the confidence level required.

...

other arguments passed to or from other methods (currently unused).

Value

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%).

Examples

# NOT RUN {
data(attendance)
M.attendance <- glm.cmp(daysabs~ gender+math+prog, data=attendance)
confint(M.attendance)
confint(M.attendance, parm = "math", level = 0.9)

# }