confint.dr4pl: Fit a 4 parameter logistic (4PL) model to dose-response data.

In ahwbest/DR4PL: Dose Response Data Analysis using the 4 Parameter Logistic (4PL) Model

Description

Compute the confidence intervals of parameter estimates of a fitted model.

Usage

## S3 method for class 'dr4pl'
confint(object, parm, level = 0.95, ...)

Arguments

object	An object of the dr4pl class
parm	Parameters of the 4PL model
level	Confidence level
...	Other parameters to be passed

Details

This function computes the confidence intervals of the parameters of the 4PL model based on the second order approximation to the Hessian matrix of the loss function of the model. Please refer to Subsection 5.2.2 of Seber and Wild (1989).

Value

A matrix of the confidence intervals in which each row represents a parameter and each column represents the lower and upper bounds of the confidence intervals of the corresponding parameters.

References

\insertRef

Seber1989dr4pl

Examples

  obj.dr4pl <- dr4pl(Response ~ Dose, data = sample_data_1)
  parm <- obj.dr4pl$parameters

  confint(obj.dr4pl, parm = parm, level = 0.95)

ahwbest/DR4PL documentation built on May 20, 2019, 6:43 p.m.