confint.drc {drc}R Documentation

Confidence Intervals for model parameters

Description

Computes confidence intervals for one or more parameters in a model of class 'drc'.

Usage

confint.drc(object, parm, level = 0.95, ...)

Arguments

object a model object of class 'drc'.
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.
level the confidence level required.
... additional argument(s) for methods. Not used.

Details

The confidence intervals are based on asymptotic normality.

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

Author(s)

Christian Ritz

Examples


## Confidence interval for a single parameter
model1 <- multdrc(FA)
confint(model1, "e")

## Confidence intervals for all parameters
confint(model1)

rm(model1)


[Package drc version 0.9-0 Index]