Returns the expected information matrix from a fitted model object.
expInfo(object, …)
any fitted model object for which the observed information can be calculated.
absorbs any additional argument.
the expected information matrix for a fitted regression model.
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
.
# 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 )
# }
Run the code above in your browser using DataLab