Returns the Expected Information Matrix — Generic Function
Returns the expected information matrix from a fitted model object.
expInfo(object, ...)
object |
any fitted model object for which the observed information can be calculated. |
... |
absorbs any additional argument. |
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.
the expected information matrix for a fitted regression model.
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 )Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.