confintd: Confidence intervals for derived parameters

In gslnls: GSL Multi-Start Nonlinear Least-Squares Fitting

Confidence intervals for derived parameters

Description

confintd is a generic function to compute confidence intervals for continuous functions of the parameters in a fitted model. The function invokes particular methods which depend on the class of the first argument.

Usage

confintd(object, expr, level = 0.95, ...)

Arguments

object	A fitted model object.
expr	An expression or character vector that can be transformed to an expression giving the function(s) of the parameters to be evaluated. Each expression should evaluate to a numeric scalar.
level	A numeric scalar between 0 and 1 giving the level of the derived parameter confidence intervals.
...	Additional argument(s) for methods

Value

A matrix with columns giving the fitted values and lower and upper confidence limits for each derived parameter. The row names list the individual derived parameter expressions.

See Also

confint

gslnls documentation built on May 29, 2024, 4:41 a.m.