expInfo: Returns the Expected Information Matrix - Generic Function

In nlreg: Higher Order Inference for Nonlinear Heteroscedastic Models

Returns the Expected Information Matrix — Generic Function

Description

Returns the expected information matrix from a fitted model object.

Usage

expInfo(object, ...)

Arguments

object	any fitted model object for which the observed information can be calculated.
...	absorbs any additional argument.

Details

This function is generic (see methods); method functions can be written to handle specific classes of data. Classes which already have methods for this function include: nlreg.

Value

the expected information matrix for a fitted regression model.

See Also

expInfo.nlreg, nlreg.object, obsInfo

Examples

data(metsulfuron)
metsulfuron.nl <- 
    nlreg( log(area) ~ log( b1+(b2-b1) / (1+(dose/b4)^b3) ),
           weights = ~ ( 1+dose^exp(g) )^2, data = metsulfuron, 
           start = c(b1 = 138, b2 = 2470, b3 = 2, b4 = 0.07, g = log(0.3)), 
           hoa = TRUE)
expInfo( metsulfuron.nl )

nlreg documentation built on June 8, 2025, 10:39 a.m.