Specify the Reciprocal of a Predictor in a gnm Model Formula
A function of class "nonlin" to specify the reciprocal
of a predictor in the formula argument to gnm.
Inv(expression, inst = NULL)
| expression | a symbolic expression representing the (possibly nonlinear) predictor. | 
| inst | (optional) an integer specifying the instance number of the term. | 
The expression argument is interpreted as the right hand side
of a formula in an object of class "formula", except that an
intercept term is not added by default. Any function of class
"nonlin" may be used in addition to the usual operators and
functions.  
A list with the components required of a "nonlin" function:
|  predictors  | the  | 
|  term  | a function to create a deparsed mathematical expression of the term, given a label for the predictor. | 
|  call  | the call to use as a prefix for parameter labels. | 
Heather Turner
## One way to fit the logistic function without conditional
## linearity as in ?nls
library(gnm)
set.seed(1)
DNase1 <- subset(DNase, Run == 1)
test <- gnm(density ~ -1 +
            Mult(1, Inv(Const(1) + Exp(Mult(1 + offset(-log(conc)),
                                                Inv(1))))),
            start = c(NA, 0, 1), data = DNase1, trace = TRUE)
coef(test)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.