drc (version 1.2-0)

confint.drc: Confidence Intervals for model parameters

Description

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

Usage

## S3 method for class 'drc':
confint(object, parm, level = 0.95, type = "t", ...)

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.

type

the type of confidence interval: based on the standard normal distribution or based on a t-distribution (default).

...

additional argument(s) for methods. Not used.

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

Details

The confidence intervals are based on asymptotic normality.

Examples

## Fitting a model
model1 <- multdrc(ryegrass)

## Confidence interval for a single parameter
confint(model1, "e")

## Confidence intervals for all parameters
confint(model1)

rm(model1)