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nlreg (version 1.2-2.2)

expInfo: 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.

Value

the expected information matrix for a fitted regression model.

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.

See Also

expInfo.nlreg, nlreg.object, obsInfo

Examples

Run this code
# NOT RUN {
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 )
# }

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