obsInfo: Returns the Observed Information Matrix - Generic Function

In hoa: Higher Order Likelihood Inference

Description

Returns the observed information matrix from a fitted model object.

Usage

obsInfo(object, ...)

Arguments

object	any fitted model object for which the observed information matrix 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 observed information matrix for a fitted regression model.

See Also

obsInfo.nlreg, nlreg.object, expInfo

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)
obsInfo( metsulfuron.nl )

hoa documentation built on May 2, 2019, 8:56 a.m.